Inter-turn Short Circuit Fault Diagnosis and Severity Estimation for Wind Turbine Generators
Jingyi Yan,
Soroush Senemmar,
Jie Zhang
Abstract:While preventive maintenance is crucial in wind turbine operation, conventional condition monitoring systems face limitations in terms of cost and complexity when compared to innovative signal processing techniques and artificial intelligence. In this paper, a cascading deep learning framework is proposed for the monitoring of generator winding conditions, specifically to promptly detect and identify inter-turn short circuit faults and estimate their severity in real time. This framework encompasses the proces… Show more
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