Title: Structural Monitoring and Fault Detection in Wind Turbine Using WSN
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Title: |
Structural Monitoring and Fault Detection in Wind Turbine Using WSN |
Author Name: |
A.Noorul Rishwana Begum, J.Jegan |
Abstract: |
Wind turbine has the monstrous potential to produce the renewable energy without reliance on any fossil fuel technology. In this paper practical monitoring system of wind turbine is proposed. Which is used to averts the unplanned downtime because of the component failure, used to avoid the unwanted accidents due to the inefficient monitoring of faulty mechanical parts in wind turbine, also used to detect the intrusion occurrence in wind turbine from that can prevent valuable asserts from theft. Flexible and less expansible Wi-MMS sensor is injected in to the turbine structure for conditional monitoring. GMM algorithm is used to find the faults in the mechanical parts of wind turbine. Modified genetic algorithm which is used to detects both the structural issues and intrusion occurrence in wind turbine. In this paper the sensed information by the sensors from turbines are processed efficiently from that structural issues, faulty parts and intrusion occurrence in wind turbine is identified. WSN technologies are used to provide information to practical monitoring system |
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