�ݺ�ߣshows by User: chokrio

�ݺ�ߣshows by User: chokrio / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: chokrio / Sun, 12 Oct 2014 08:45:45 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: chokrio Real Time and Wireless Smart Faults Detection Device for Wind Turbines /slideshow/real-time-and-wireless-smart-faults-detection-device-for-wind-turbines/40165184 ijcstp1510-141012084545-conversion-gate01
In new energy development, wind power has boomed. It is due to the proliferation of wind parks and their operation in supplying the national electric grid with low cost and clean resources. Hence, there is an increased need to establish a proactive maintenance for wind turbine machines based on remote control and monitoring. That is necessary with a real-time wireless connection in offshore or inaccessible locations while the wired method has many flaws. The objective of this strategy is to prolong wind turbine lifetime and to increase productivity. The hardware of a remote control and monitoring system for wind turbine parks is designed. It takes advantage of GPRS or Wi-Max wireless module to collect data measurements from different wind machine sensors through IP based multi-hop communication. Computer simulations with Proteus ISIS and OPNET software tools have been conducted to evaluate the performance of the studied system. Study findings show that the designed device is suitable for application in a wind park.]]>
In new energy development, wind power has boomed. It is due to the proliferation of wind parks and their operation in supplying the national electric grid with low cost and clean resources. Hence, there is an increased need to establish a proactive maintenance for wind turbine machines based on remote control and monitoring. That is necessary with a real-time wireless connection in offshore or inaccessible locations while the wired method has many flaws. The objective of this strategy is to prolong wind turbine lifetime and to increase productivity. The hardware of a remote control and monitoring system for wind turbine parks is designed. It takes advantage of GPRS or Wi-Max wireless module to collect data measurements from different wind machine sensors through IP based multi-hop communication. Computer simulations with Proteus ISIS and OPNET software tools have been conducted to evaluate the performance of the studied system. Study findings show that the designed device is suitable for application in a wind park.]]> Sun, 12 Oct 2014 08:45:45 GMT /slideshow/real-time-and-wireless-smart-faults-detection-device-for-wind-turbines/40165184 chokrio@slideshare.net(chokrio) Real Time and Wireless Smart Faults Detection Device for Wind Turbines chokrio In new energy development, wind power has boomed. It is due to the proliferation of wind parks and their operation in supplying the national electric grid with low cost and clean resources. Hence, there is an increased need to establish a proactive maintenance for wind turbine machines based on remote control and monitoring. That is necessary with a real-time wireless connection in offshore or inaccessible locations while the wired method has many flaws. The objective of this strategy is to prolong wind turbine lifetime and to increase productivity. The hardware of a remote control and monitoring system for wind turbine parks is designed. It takes advantage of GPRS or Wi-Max wireless module to collect data measurements from different wind machine sensors through IP based multi-hop communication. Computer simulations with Proteus ISIS and OPNET software tools have been conducted to evaluate the performance of the studied system. Study findings show that the designed device is suitable for application in a wind park. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ijcstp1510-141012084545-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds" /> In new energy development, wind power has boomed. It is due to the proliferation of wind parks and their operation in supplying the national electric grid with low cost and clean resources. Hence, there is an increased need to establish a proactive maintenance for wind turbine machines based on remote control and monitoring. That is necessary with a real-time wireless connection in offshore or inaccessible locations while the wired method has many flaws. The objective of this strategy is to prolong wind turbine lifetime and to increase productivity. The hardware of a remote control and monitoring system for wind turbine parks is designed. It takes advantage of GPRS or Wi-Max wireless module to collect data measurements from different wind machine sensors through IP based multi-hop communication. Computer simulations with Proteus ISIS and OPNET software tools have been conducted to evaluate the performance of the studied system. Study findings show that the designed device is suitable for application in a wind park.

Real Time and Wireless Smart Faults Detection Device for Wind Turbines from chokrio

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0 Energy Efficient Enhancement of TDEEC Wireless Sensors Network Protocol Based on Passive RFID Implementation /slideshow/energy-efficient-enhancement-of-tdeec-wireless-sensors-network-protocol-based-on-passive-rfid-implementation/37279473 ijarcce6gaelahmadienergyefficientenhancement-140723073039-phpapp01
Radio frequency identification (RFID) and wireless sensor networks are two important wireless technologies which have a wide variety of applications in current and in future systems. By integration of these technologies, it is feasible to improve the operating functionalities. In the heterogeneous network, the need to apply the balancing of energy consumption across all nodes is very important to prevent the death of those nodes and thereafter increase the lifetime of the network .The most part of the network energy is consumed in the localization and in the communication stages, when nodes are sending HELLO packet, this energy can be recovered by implementing a passive RFID circuit in each node. This approach extends the network lifetime and increase the number of packet messages sent to the base station. Computer simulation in MATLAB with different scenarios comparison shows that the proposed method presents an efficient solution to enhance the energy network performance.]]>
Radio frequency identification (RFID) and wireless sensor networks are two important wireless technologies which have a wide variety of applications in current and in future systems. By integration of these technologies, it is feasible to improve the operating functionalities. In the heterogeneous network, the need to apply the balancing of energy consumption across all nodes is very important to prevent the death of those nodes and thereafter increase the lifetime of the network .The most part of the network energy is consumed in the localization and in the communication stages, when nodes are sending HELLO packet, this energy can be recovered by implementing a passive RFID circuit in each node. This approach extends the network lifetime and increase the number of packet messages sent to the base station. Computer simulation in MATLAB with different scenarios comparison shows that the proposed method presents an efficient solution to enhance the energy network performance.]]> Wed, 23 Jul 2014 07:30:39 GMT /slideshow/energy-efficient-enhancement-of-tdeec-wireless-sensors-network-protocol-based-on-passive-rfid-implementation/37279473 chokrio@slideshare.net(chokrio) Energy Efficient Enhancement of TDEEC Wireless Sensors Network Protocol Based on Passive RFID Implementation chokrio Radio frequency identification (RFID) and wireless sensor networks are two important wireless technologies which have a wide variety of applications in current and in future systems. By integration of these technologies, it is feasible to improve the operating functionalities. In the heterogeneous network, the need to apply the balancing of energy consumption across all nodes is very important to prevent the death of those nodes and thereafter increase the lifetime of the network .The most part of the network energy is consumed in the localization and in the communication stages, when nodes are sending HELLO packet, this energy can be recovered by implementing a passive RFID circuit in each node. This approach extends the network lifetime and increase the number of packet messages sent to the base station. Computer simulation in MATLAB with different scenarios comparison shows that the proposed method presents an efficient solution to enhance the energy network performance. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ijarcce6gaelahmadienergyefficientenhancement-140723073039-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Radio frequency identification (RFID) and wireless sensor networks are two important wireless technologies which have a wide variety of applications in current and in future systems. By integration of these technologies, it is feasible to improve the operating functionalities. In the heterogeneous network, the need to apply the balancing of energy consumption across all nodes is very important to prevent the death of those nodes and thereafter increase the lifetime of the network .The most part of the network energy is consumed in the localization and in the communication stages, when nodes are sending HELLO packet, this energy can be recovered by implementing a passive RFID circuit in each node. This approach extends the network lifetime and increase the number of packet messages sent to the base station. Computer simulation in MATLAB with different scenarios comparison shows that the proposed method presents an efficient solution to enhance the energy network performance.

Energy Efficient Enhancement of TDEEC Wireless Sensors Network Protocol Based on Passive RFID Implementation from chokrio

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0 Fuzzy Logic Approach to Improving Stable Election Protocol for Clustered Heterogeneous Wireless Sensor Networks /slideshow/fuzzy-logic-approach-to-improving-stable-election-protocol-for-clustered-heterogeneous-wireless-sensor-networks/37279360 20140119-140723072640-phpapp01
The wireless sensor network is composed of a set of nodes which energy is limited in terms of computing, storage and communication power. In this network, a few nodes become cluster head which causes the energetic heterogeneity of the network, therefore the behavior of the sensor network becomes very unstable as soon as the life of the first node is elapsed. SEP has proposed the extension of time to network stability before the death of the first node and the reduction of unstable time before the death of the last node. This protocol is based on the election of cluster head by the balance of the probabilities of the remaining energy for each node. In this paper, we propose to improve SEP by fuzzy logic (SEP-FL). We show by simulation in MATLAB that the proposed method increases the stability period and decreases the instability of the sensor network compared with LEACH, LEACH-FL and SEP taking into account the energy level and the distance to the base station. We conclude by studying the parameters of heterogeneity as the protocol proposed (SEP-FL) provides a longer interval of stability for large values of additional energy brought by the more powerful nodes (advanced).]]>
The wireless sensor network is composed of a set of nodes which energy is limited in terms of computing, storage and communication power. In this network, a few nodes become cluster head which causes the energetic heterogeneity of the network, therefore the behavior of the sensor network becomes very unstable as soon as the life of the first node is elapsed. SEP has proposed the extension of time to network stability before the death of the first node and the reduction of unstable time before the death of the last node. This protocol is based on the election of cluster head by the balance of the probabilities of the remaining energy for each node. In this paper, we propose to improve SEP by fuzzy logic (SEP-FL). We show by simulation in MATLAB that the proposed method increases the stability period and decreases the instability of the sensor network compared with LEACH, LEACH-FL and SEP taking into account the energy level and the distance to the base station. We conclude by studying the parameters of heterogeneity as the protocol proposed (SEP-FL) provides a longer interval of stability for large values of additional energy brought by the more powerful nodes (advanced).]]> Wed, 23 Jul 2014 07:26:40 GMT /slideshow/fuzzy-logic-approach-to-improving-stable-election-protocol-for-clustered-heterogeneous-wireless-sensor-networks/37279360 chokrio@slideshare.net(chokrio) Fuzzy Logic Approach to Improving Stable Election Protocol for Clustered Heterogeneous Wireless Sensor Networks chokrio The wireless sensor network is composed of a set of nodes which energy is limited in terms of computing, storage and communication power. In this network, a few nodes become cluster head which causes the energetic heterogeneity of the network, therefore the behavior of the sensor network becomes very unstable as soon as the life of the first node is elapsed. SEP has proposed the extension of time to network stability before the death of the first node and the reduction of unstable time before the death of the last node. This protocol is based on the election of cluster head by the balance of the probabilities of the remaining energy for each node. In this paper, we propose to improve SEP by fuzzy logic (SEP-FL). We show by simulation in MATLAB that the proposed method increases the stability period and decreases the instability of the sensor network compared with LEACH, LEACH-FL and SEP taking into account the energy level and the distance to the base station. We conclude by studying the parameters of heterogeneity as the protocol proposed (SEP-FL) provides a longer interval of stability for large values of additional energy brought by the more powerful nodes (advanced). <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20140119-140723072640-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> The wireless sensor network is composed of a set of nodes which energy is limited in terms of computing, storage and communication power. In this network, a few nodes become cluster head which causes the energetic heterogeneity of the network, therefore the behavior of the sensor network becomes very unstable as soon as the life of the first node is elapsed. SEP has proposed the extension of time to network stability before the death of the first node and the reduction of unstable time before the death of the last node. This protocol is based on the election of cluster head by the balance of the probabilities of the remaining energy for each node. In this paper, we propose to improve SEP by fuzzy logic (SEP-FL). We show by simulation in MATLAB that the proposed method increases the stability period and decreases the instability of the sensor network compared with LEACH, LEACH-FL and SEP taking into account the energy level and the distance to the base station. We conclude by studying the parameters of heterogeneity as the protocol proposed (SEP-FL) provides a longer interval of stability for large values of additional energy brought by the more powerful nodes (advanced).

Fuzzy Logic Approach to Improving Stable Election Protocol for Clustered Heterogeneous Wireless Sensor Networks from chokrio

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0 Ameliorate Threshold Distributed Energy Efficient Clustering Algorithm for Heterogeneous Wireless Sensor Networks /slideshow/paper-12-amelioratethresholddistributedenergyefficientclusteringalgorithmforheterogeneouswirelesssensornetworks/37279277 paper12-amelioratethresholddistributedenergyefficientclusteringalgorithmforheterogeneouswirelesssens-140723072350-phpapp02
Ameliorating the lifetime in heterogeneous wireless sensor network is an important task because the sensor nodes are limited in the resource energy. The best way to improve a WSN lifetime is the clustering based algorithms in which each cluster is managed by a leader called Cluster Head. Each other node must communicate with this CH to send the data sensing. The nearest base station nodes must also send their data to their leaders, this causes a loss of energy. In this paper, we propose a new approach to ameliorate a threshold distributed energy efficient clustering protocol for heterogeneous wireless sensor networks by excluding closest nodes to the base station in the clustering process. We show by simulation in MATLAB that the proposed approach increases obviously the number of the received packet messages and prolongs the lifetime of the network compared to TDEEC protocol.]]>
Ameliorating the lifetime in heterogeneous wireless sensor network is an important task because the sensor nodes are limited in the resource energy. The best way to improve a WSN lifetime is the clustering based algorithms in which each cluster is managed by a leader called Cluster Head. Each other node must communicate with this CH to send the data sensing. The nearest base station nodes must also send their data to their leaders, this causes a loss of energy. In this paper, we propose a new approach to ameliorate a threshold distributed energy efficient clustering protocol for heterogeneous wireless sensor networks by excluding closest nodes to the base station in the clustering process. We show by simulation in MATLAB that the proposed approach increases obviously the number of the received packet messages and prolongs the lifetime of the network compared to TDEEC protocol.]]> Wed, 23 Jul 2014 07:23:50 GMT /slideshow/paper-12-amelioratethresholddistributedenergyefficientclusteringalgorithmforheterogeneouswirelesssensornetworks/37279277 chokrio@slideshare.net(chokrio) Ameliorate Threshold Distributed Energy Efficient Clustering Algorithm for Heterogeneous Wireless Sensor Networks chokrio Ameliorating the lifetime in heterogeneous wireless sensor network is an important task because the sensor nodes are limited in the resource energy. The best way to improve a WSN lifetime is the clustering based algorithms in which each cluster is managed by a leader called Cluster Head. Each other node must communicate with this CH to send the data sensing. The nearest base station nodes must also send their data to their leaders, this causes a loss of energy. In this paper, we propose a new approach to ameliorate a threshold distributed energy efficient clustering protocol for heterogeneous wireless sensor networks by excluding closest nodes to the base station in the clustering process. We show by simulation in MATLAB that the proposed approach increases obviously the number of the received packet messages and prolongs the lifetime of the network compared to TDEEC protocol. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/paper12-amelioratethresholddistributedenergyefficientclusteringalgorithmforheterogeneouswirelesssens-140723072350-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Ameliorating the lifetime in heterogeneous wireless sensor network is an important task because the sensor nodes are limited in the resource energy. The best way to improve a WSN lifetime is the clustering based algorithms in which each cluster is managed by a leader called Cluster Head. Each other node must communicate with this CH to send the data sensing. The nearest base station nodes must also send their data to their leaders, this causes a loss of energy. In this paper, we propose a new approach to ameliorate a threshold distributed energy efficient clustering protocol for heterogeneous wireless sensor networks by excluding closest nodes to the base station in the clustering process. We show by simulation in MATLAB that the proposed approach increases obviously the number of the received packet messages and prolongs the lifetime of the network compared to TDEEC protocol.

Ameliorate Threshold Distributed Energy Efficient Clustering Algorithm for Heterogeneous Wireless Sensor Networks from chokrio

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0 Comparative Performance Analysis of Wireless Communication Protocols for Intelligent Sensors and Their Applications /slideshow/paper-13-37279157/37279157 paper13-140723071934-phpapp02
The systems based on intelligent sensors are currently expanding, due to theirs functions and theirs performances of intelligence: transmitting and receiving data in real-time, computation and processing algorithms, metrology remote, diagnostics, automation and storage measurements…The radio frequency wireless communication with its multitude offers a better solution for data traffic in this kind of systems. The mains objectives of this paper is to present a solution of the problem related to the selection criteria of a better wireless communication technology face up to the constraints imposed by the intended application and the evaluation of its key features. The comparison between the different wireless technologies (Wi-Fi, Wi-Max, UWB, Bluetooth, ZigBee, ZigBeeIP, GSM/GPRS) focuses on their performance which depends on the areas of utilization. Furthermore, it shows the limits of their characteristics. Study findings can be used by the developers/ engineers to deduce the optimal mode to integrate and to operate a system that guarantees quality of communication, minimizing energy consumption, reducing the implementation cost and avoiding time constraints.]]>
The systems based on intelligent sensors are currently expanding, due to theirs functions and theirs performances of intelligence: transmitting and receiving data in real-time, computation and processing algorithms, metrology remote, diagnostics, automation and storage measurements…The radio frequency wireless communication with its multitude offers a better solution for data traffic in this kind of systems. The mains objectives of this paper is to present a solution of the problem related to the selection criteria of a better wireless communication technology face up to the constraints imposed by the intended application and the evaluation of its key features. The comparison between the different wireless technologies (Wi-Fi, Wi-Max, UWB, Bluetooth, ZigBee, ZigBeeIP, GSM/GPRS) focuses on their performance which depends on the areas of utilization. Furthermore, it shows the limits of their characteristics. Study findings can be used by the developers/ engineers to deduce the optimal mode to integrate and to operate a system that guarantees quality of communication, minimizing energy consumption, reducing the implementation cost and avoiding time constraints.]]> Wed, 23 Jul 2014 07:19:34 GMT /slideshow/paper-13-37279157/37279157 chokrio@slideshare.net(chokrio) Comparative Performance Analysis of Wireless Communication Protocols for Intelligent Sensors and Their Applications chokrio The systems based on intelligent sensors are currently expanding, due to theirs functions and theirs performances of intelligence: transmitting and receiving data in real-time, computation and processing algorithms, metrology remote, diagnostics, automation and storage measurements…The radio frequency wireless communication with its multitude offers a better solution for data traffic in this kind of systems. The mains objectives of this paper is to present a solution of the problem related to the selection criteria of a better wireless communication technology face up to the constraints imposed by the intended application and the evaluation of its key features. The comparison between the different wireless technologies (Wi-Fi, Wi-Max, UWB, Bluetooth, ZigBee, ZigBeeIP, GSM/GPRS) focuses on their performance which depends on the areas of utilization. Furthermore, it shows the limits of their characteristics. Study findings can be used by the developers/ engineers to deduce the optimal mode to integrate and to operate a system that guarantees quality of communication, minimizing energy consumption, reducing the implementation cost and avoiding time constraints. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/paper13-140723071934-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> The systems based on intelligent sensors are currently expanding, due to theirs functions and theirs performances of intelligence: transmitting and receiving data in real-time, computation and processing algorithms, metrology remote, diagnostics, automation and storage measurements…The radio frequency wireless communication with its multitude offers a better solution for data traffic in this kind of systems. The mains objectives of this paper is to present a solution of the problem related to the selection criteria of a better wireless communication technology face up to the constraints imposed by the intended application and the evaluation of its key features. The comparison between the different wireless technologies (Wi-Fi, Wi-Max, UWB, Bluetooth, ZigBee, ZigBeeIP, GSM/GPRS) focuses on their performance which depends on the areas of utilization. Furthermore, it shows the limits of their characteristics. Study findings can be used by the developers/ engineers to deduce the optimal mode to integrate and to operate a system that guarantees quality of communication, minimizing energy consumption, reducing the implementation cost and avoiding time constraints.

Comparative Performance Analysis of Wireless Communication Protocols for Intelligent Sensors and Their Applications from chokrio

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0 Performance Analysis of Faults Detection in Wind Turbine Generator Based on High-Resolution Frequency Estimation Methods /slideshow/performance-analysis-of-faults-detection-in-wind-turbine-generator-based-on-highresolution-frequency-estimation-methods/37279077 paper20-140723071646-phpapp02
Electrical energy production based on wind power has become the most popular renewable resources in the recent years because it gets reliable clean energy with minimum cost. The major challenge for wind turbines is the electrical and the mechanical failures which can occur at any time causing prospective breakdowns and damages and therefore it leads to machine downtimes and to energy production loss. To circumvent this problem, several tools and techniques have been developed and used to enhance fault detection and diagnosis to be found in the stator current signature for wind turbines generators. Among these methods, parametric or super-resolution frequency estimation methods, which provides typical spectrum estimation, can be useful for this purpose. Facing on the plurality of these algorithms, a comparative performance analysis is made to evaluate robustness based on different metrics: accuracy, dispersion, computation cost, perturbations and faults severity. Finally, simulation results in MATLAB with most occurring faults indicate that ESPRIT and R-MUSIC algorithms have high capability of correctly identifying the frequencies of fault characteristic components, a performance ranking had been carried out to demonstrate the efficiency of the studied methods in faults detecting.]]>
Electrical energy production based on wind power has become the most popular renewable resources in the recent years because it gets reliable clean energy with minimum cost. The major challenge for wind turbines is the electrical and the mechanical failures which can occur at any time causing prospective breakdowns and damages and therefore it leads to machine downtimes and to energy production loss. To circumvent this problem, several tools and techniques have been developed and used to enhance fault detection and diagnosis to be found in the stator current signature for wind turbines generators. Among these methods, parametric or super-resolution frequency estimation methods, which provides typical spectrum estimation, can be useful for this purpose. Facing on the plurality of these algorithms, a comparative performance analysis is made to evaluate robustness based on different metrics: accuracy, dispersion, computation cost, perturbations and faults severity. Finally, simulation results in MATLAB with most occurring faults indicate that ESPRIT and R-MUSIC algorithms have high capability of correctly identifying the frequencies of fault characteristic components, a performance ranking had been carried out to demonstrate the efficiency of the studied methods in faults detecting.]]> Wed, 23 Jul 2014 07:16:46 GMT /slideshow/performance-analysis-of-faults-detection-in-wind-turbine-generator-based-on-highresolution-frequency-estimation-methods/37279077 chokrio@slideshare.net(chokrio) Performance Analysis of Faults Detection in Wind Turbine Generator Based on High-Resolution Frequency Estimation Methods chokrio Electrical energy production based on wind power has become the most popular renewable resources in the recent years because it gets reliable clean energy with minimum cost. The major challenge for wind turbines is the electrical and the mechanical failures which can occur at any time causing prospective breakdowns and damages and therefore it leads to machine downtimes and to energy production loss. To circumvent this problem, several tools and techniques have been developed and used to enhance fault detection and diagnosis to be found in the stator current signature for wind turbines generators. Among these methods, parametric or super-resolution frequency estimation methods, which provides typical spectrum estimation, can be useful for this purpose. Facing on the plurality of these algorithms, a comparative performance analysis is made to evaluate robustness based on different metrics: accuracy, dispersion, computation cost, perturbations and faults severity. Finally, simulation results in MATLAB with most occurring faults indicate that ESPRIT and R-MUSIC algorithms have high capability of correctly identifying the frequencies of fault characteristic components, a performance ranking had been carried out to demonstrate the efficiency of the studied methods in faults detecting. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/paper20-140723071646-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Electrical energy production based on wind power has become the most popular renewable resources in the recent years because it gets reliable clean energy with minimum cost. The major challenge for wind turbines is the electrical and the mechanical failures which can occur at any time causing prospective breakdowns and damages and therefore it leads to machine downtimes and to energy production loss. To circumvent this problem, several tools and techniques have been developed and used to enhance fault detection and diagnosis to be found in the stator current signature for wind turbines generators. Among these methods, parametric or super-resolution frequency estimation methods, which provides typical spectrum estimation, can be useful for this purpose. Facing on the plurality of these algorithms, a comparative performance analysis is made to evaluate robustness based on different metrics: accuracy, dispersion, computation cost, perturbations and faults severity. Finally, simulation results in MATLAB with most occurring faults indicate that ESPRIT and R-MUSIC algorithms have high capability of correctly identifying the frequencies of fault characteristic components, a performance ranking had been carried out to demonstrate the efficiency of the studied methods in faults detecting.

Performance Analysis of Faults Detection in Wind Turbine Generator Based on High-Resolution Frequency Estimation Methods from chokrio

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0 Optimal Operating Performances of Wireless Protocols for Intelligent Sensors Applications /slideshow/vol5no4-1/37278995 vol5no41-140723071354-phpapp02
The systems based on intelligent sensors are currently expanding, due to theirs functions and theirs performances of intelligence: transmitting and receiving data in real-time, computation and processing algorithms, metrology remote, diagnostics, automation and storage measurements…The radio frequency wireless communication with its multitude offers a better solution for data traffic in this kind of systems. The mains objectives of this paper is to present a solution of the problem related to the selection criteria of a better wireless communication technology face up to the constraints imposed by the intended application and the evaluation of its key features. The comparison between the different wire-less technologies (Wi-Fi, Wi-Max, UWB, Bluetooth, ZigBee, ZigBeeIP, GSM/GPRS) focuses on their performance which depends on the areas of utilization. Furthermore, it shows the limits of their characteristics. Study findings can be used by the developers/ engineers to deduce the optimal mode to integrate and to operate a system that guarantees quality of communication, minimizing energy consumption, reducing the implementation cost and avoiding time con-straints.]]>
The systems based on intelligent sensors are currently expanding, due to theirs functions and theirs performances of intelligence: transmitting and receiving data in real-time, computation and processing algorithms, metrology remote, diagnostics, automation and storage measurements…The radio frequency wireless communication with its multitude offers a better solution for data traffic in this kind of systems. The mains objectives of this paper is to present a solution of the problem related to the selection criteria of a better wireless communication technology face up to the constraints imposed by the intended application and the evaluation of its key features. The comparison between the different wire-less technologies (Wi-Fi, Wi-Max, UWB, Bluetooth, ZigBee, ZigBeeIP, GSM/GPRS) focuses on their performance which depends on the areas of utilization. Furthermore, it shows the limits of their characteristics. Study findings can be used by the developers/ engineers to deduce the optimal mode to integrate and to operate a system that guarantees quality of communication, minimizing energy consumption, reducing the implementation cost and avoiding time con-straints.]]> Wed, 23 Jul 2014 07:13:54 GMT /slideshow/vol5no4-1/37278995 chokrio@slideshare.net(chokrio) Optimal Operating Performances of Wireless Protocols for Intelligent Sensors Applications chokrio The systems based on intelligent sensors are currently expanding, due to theirs functions and theirs performances of intelligence: transmitting and receiving data in real-time, computation and processing algorithms, metrology remote, diagnostics, automation and storage measurements…The radio frequency wireless communication with its multitude offers a better solution for data traffic in this kind of systems. The mains objectives of this paper is to present a solution of the problem related to the selection criteria of a better wireless communication technology face up to the constraints imposed by the intended application and the evaluation of its key features. The comparison between the different wire-less technologies (Wi-Fi, Wi-Max, UWB, Bluetooth, ZigBee, ZigBeeIP, GSM/GPRS) focuses on their performance which depends on the areas of utilization. Furthermore, it shows the limits of their characteristics. Study findings can be used by the developers/ engineers to deduce the optimal mode to integrate and to operate a system that guarantees quality of communication, minimizing energy consumption, reducing the implementation cost and avoiding time con-straints. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/vol5no41-140723071354-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> The systems based on intelligent sensors are currently expanding, due to theirs functions and theirs performances of intelligence: transmitting and receiving data in real-time, computation and processing algorithms, metrology remote, diagnostics, automation and storage measurements…The radio frequency wireless communication with its multitude offers a better solution for data traffic in this kind of systems. The mains objectives of this paper is to present a solution of the problem related to the selection criteria of a better wireless communication technology face up to the constraints imposed by the intended application and the evaluation of its key features. The comparison between the different wire-less technologies (Wi-Fi, Wi-Max, UWB, Bluetooth, ZigBee, ZigBeeIP, GSM/GPRS) focuses on their performance which depends on the areas of utilization. Furthermore, it shows the limits of their characteristics. Study findings can be used by the developers/ engineers to deduce the optimal mode to integrate and to operate a system that guarantees quality of communication, minimizing energy consumption, reducing the implementation cost and avoiding time con-straints.

Optimal Operating Performances of Wireless Protocols for Intelligent Sensors Applications from chokrio

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0 NEW APPROACH TO IMPROVING LIFETIME IN HETEROGENEOUS WIRELESS SENSOR NETWORKS BASED ON CLUSTERING ENERGY EFFICIENCY ALGORITHM /slideshow/new-approach-to-improving-lifetime-in-heterogeneous-wireless-sensor-networks-based-on-clustering-energy-efficiency-algorithm/37278917 22vol61no2-140723071114-phpapp02
The major challenge for wireless sensor networks is energy consumption minimization. Wireless transmission consumes much more of energy. In the clustered network, a few nodes become cluster heads which causes the energetic heterogeneity. Therefore the behavior of the sensor network becomes very unstable. Hence, the need to apply the balancing of energy consumption across all nodes of the heterogeneous network is very important to prevent the death of those nodes and thereafter increase the lifetime of the network. DEEC (Distributed Energy Efficient Clustering) is one of routing protocols designed to extend the stability time of the network by reducing energy consumption. A disadvantage of DEEC, which doesn’t takes into account the cluster size and the density of nodes in this cluster to elect the cluster heads. When multiple cluster heads are randomly selected within a small area, a big extra energy loss occurs. The amount of lost energy is approximately proportional to the number of cluster heads in this area. In this paper, we propose to improve DEEC by a modified energy efficient algorithm for choosing cluster heads that exclude a number of low energy levels nodes due to their distribution density and their dimensions area. We show by simulation in MATLAB that the proposed approach increases the number of received messages and prolong the lifetime of the network compared to DEEC. We conclude by studying the parameters of heterogeneity that proposed technique provides a longer stability period which increases by increasing the number of nodes which are excluded from the cluster head selection.]]>
The major challenge for wireless sensor networks is energy consumption minimization. Wireless transmission consumes much more of energy. In the clustered network, a few nodes become cluster heads which causes the energetic heterogeneity. Therefore the behavior of the sensor network becomes very unstable. Hence, the need to apply the balancing of energy consumption across all nodes of the heterogeneous network is very important to prevent the death of those nodes and thereafter increase the lifetime of the network. DEEC (Distributed Energy Efficient Clustering) is one of routing protocols designed to extend the stability time of the network by reducing energy consumption. A disadvantage of DEEC, which doesn’t takes into account the cluster size and the density of nodes in this cluster to elect the cluster heads. When multiple cluster heads are randomly selected within a small area, a big extra energy loss occurs. The amount of lost energy is approximately proportional to the number of cluster heads in this area. In this paper, we propose to improve DEEC by a modified energy efficient algorithm for choosing cluster heads that exclude a number of low energy levels nodes due to their distribution density and their dimensions area. We show by simulation in MATLAB that the proposed approach increases the number of received messages and prolong the lifetime of the network compared to DEEC. We conclude by studying the parameters of heterogeneity that proposed technique provides a longer stability period which increases by increasing the number of nodes which are excluded from the cluster head selection.]]> Wed, 23 Jul 2014 07:11:14 GMT /slideshow/new-approach-to-improving-lifetime-in-heterogeneous-wireless-sensor-networks-based-on-clustering-energy-efficiency-algorithm/37278917 chokrio@slideshare.net(chokrio) NEW APPROACH TO IMPROVING LIFETIME IN HETEROGENEOUS WIRELESS SENSOR NETWORKS BASED ON CLUSTERING ENERGY EFFICIENCY ALGORITHM chokrio The major challenge for wireless sensor networks is energy consumption minimization. Wireless transmission consumes much more of energy. In the clustered network, a few nodes become cluster heads which causes the energetic heterogeneity. Therefore the behavior of the sensor network becomes very unstable. Hence, the need to apply the balancing of energy consumption across all nodes of the heterogeneous network is very important to prevent the death of those nodes and thereafter increase the lifetime of the network. DEEC (Distributed Energy Efficient Clustering) is one of routing protocols designed to extend the stability time of the network by reducing energy consumption. A disadvantage of DEEC, which doesn’t takes into account the cluster size and the density of nodes in this cluster to elect the cluster heads. When multiple cluster heads are randomly selected within a small area, a big extra energy loss occurs. The amount of lost energy is approximately proportional to the number of cluster heads in this area. In this paper, we propose to improve DEEC by a modified energy efficient algorithm for choosing cluster heads that exclude a number of low energy levels nodes due to their distribution density and their dimensions area. We show by simulation in MATLAB that the proposed approach increases the number of received messages and prolong the lifetime of the network compared to DEEC. We conclude by studying the parameters of heterogeneity that proposed technique provides a longer stability period which increases by increasing the number of nodes which are excluded from the cluster head selection. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/22vol61no2-140723071114-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> The major challenge for wireless sensor networks is energy consumption minimization. Wireless transmission consumes much more of energy. In the clustered network, a few nodes become cluster heads which causes the energetic heterogeneity. Therefore the behavior of the sensor network becomes very unstable. Hence, the need to apply the balancing of energy consumption across all nodes of the heterogeneous network is very important to prevent the death of those nodes and thereafter increase the lifetime of the network. DEEC (Distributed Energy Efficient Clustering) is one of routing protocols designed to extend the stability time of the network by reducing energy consumption. A disadvantage of DEEC, which doesn’t takes into account the cluster size and the density of nodes in this cluster to elect the cluster heads. When multiple cluster heads are randomly selected within a small area, a big extra energy loss occurs. The amount of lost energy is approximately proportional to the number of cluster heads in this area. In this paper, we propose to improve DEEC by a modified energy efficient algorithm for choosing cluster heads that exclude a number of low energy levels nodes due to their distribution density and their dimensions area. We show by simulation in MATLAB that the proposed approach increases the number of received messages and prolong the lifetime of the network compared to DEEC. We conclude by studying the parameters of heterogeneity that proposed technique provides a longer stability period which increases by increasing the number of nodes which are excluded from the cluster head selection.

NEW APPROACH TO IMPROVING LIFETIME IN HETEROGENEOUS WIRELESS SENSOR NETWORKS BASED ON CLUSTERING ENERGY EFFICIENCY ALGORITHM from chokrio

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0 Efficiency Evaluation Metrics for Wireless Intelligent Sensors Applications /slideshow/efficiency-evaluation-metrics-for-wireless-intelligent-sensors-applications/37278652 ijisa-v6-n10-1-140723070310-phpapp01
The metrology field has been progressed with the appearance of the wireless intelligent sensor systems providing more capabilities such as signal processing, remote multisensing fusion etc. This kind of devices is rapidly making their way into medical and industrial monitoring, collision avoidance, traffic control, automotive and others applications. However, numerous design challenges for wireless intelligent sensors systems are imposed to overcome the physical limitations in data traffic, such as system noise, real time communication, signal attenuation, response dynamics, power consumption, and effective conversion rates etc, especially for applications requiring specific performances. This paper analyzes the performance metrics of the mentioned sensing devices systems which stands for superior measurement, more accuracy and reliability. Study findings prescribe researchers, developers/ engineers and users to realizing an optimal sensing motes design strategy that offers operational advantages which can offer cost-effective solutions for an application.]]>
The metrology field has been progressed with the appearance of the wireless intelligent sensor systems providing more capabilities such as signal processing, remote multisensing fusion etc. This kind of devices is rapidly making their way into medical and industrial monitoring, collision avoidance, traffic control, automotive and others applications. However, numerous design challenges for wireless intelligent sensors systems are imposed to overcome the physical limitations in data traffic, such as system noise, real time communication, signal attenuation, response dynamics, power consumption, and effective conversion rates etc, especially for applications requiring specific performances. This paper analyzes the performance metrics of the mentioned sensing devices systems which stands for superior measurement, more accuracy and reliability. Study findings prescribe researchers, developers/ engineers and users to realizing an optimal sensing motes design strategy that offers operational advantages which can offer cost-effective solutions for an application.]]> Wed, 23 Jul 2014 07:03:10 GMT /slideshow/efficiency-evaluation-metrics-for-wireless-intelligent-sensors-applications/37278652 chokrio@slideshare.net(chokrio) Efficiency Evaluation Metrics for Wireless Intelligent Sensors Applications chokrio The metrology field has been progressed with the appearance of the wireless intelligent sensor systems providing more capabilities such as signal processing, remote multisensing fusion etc. This kind of devices is rapidly making their way into medical and industrial monitoring, collision avoidance, traffic control, automotive and others applications. However, numerous design challenges for wireless intelligent sensors systems are imposed to overcome the physical limitations in data traffic, such as system noise, real time communication, signal attenuation, response dynamics, power consumption, and effective conversion rates etc, especially for applications requiring specific performances. This paper analyzes the performance metrics of the mentioned sensing devices systems which stands for superior measurement, more accuracy and reliability. Study findings prescribe researchers, developers/ engineers and users to realizing an optimal sensing motes design strategy that offers operational advantages which can offer cost-effective solutions for an application. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ijisa-v6-n10-1-140723070310-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> The metrology field has been progressed with the appearance of the wireless intelligent sensor systems providing more capabilities such as signal processing, remote multisensing fusion etc. This kind of devices is rapidly making their way into medical and industrial monitoring, collision avoidance, traffic control, automotive and others applications. However, numerous design challenges for wireless intelligent sensors systems are imposed to overcome the physical limitations in data traffic, such as system noise, real time communication, signal attenuation, response dynamics, power consumption, and effective conversion rates etc, especially for applications requiring specific performances. This paper analyzes the performance metrics of the mentioned sensing devices systems which stands for superior measurement, more accuracy and reliability. Study findings prescribe researchers, developers/ engineers and users to realizing an optimal sensing motes design strategy that offers operational advantages which can offer cost-effective solutions for an application.

Efficiency Evaluation Metrics for Wireless Intelligent Sensors Applications from chokrio

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0 Wireless communication /slideshow/wireless-communication-16735458/16735458 wirelesscommunication-130224114831-phpapp01
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]]> Sun, 24 Feb 2013 11:48:31 GMT /slideshow/wireless-communication-16735458/16735458 chokrio@slideshare.net(chokrio) Wireless communication chokrio <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/wirelesscommunication-130224114831-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" />

Wireless communication from chokrio

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0 https://public.slidesharecdn.com/v2/images/profile-picture.png https://cdn.slidesharecdn.com/ss_thumbnails/ijcstp1510-141012084545-conversion-gate01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/real-time-and-wireless-smart-faults-detection-device-for-wind-turbines/40165184 Real Time and Wireless... https://cdn.slidesharecdn.com/ss_thumbnails/ijarcce6gaelahmadienergyefficientenhancement-140723073039-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/energy-efficient-enhancement-of-tdeec-wireless-sensors-network-protocol-based-on-passive-rfid-implementation/37279473 Energy Efficient Enhan... https://cdn.slidesharecdn.com/ss_thumbnails/20140119-140723072640-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/fuzzy-logic-approach-to-improving-stable-election-protocol-for-clustered-heterogeneous-wireless-sensor-networks/37279360 Fuzzy Logic Approach t...