Application of Radial Basis Neural Networks in Fault Diagnosis of Synchronous Generator

نویسندگان
Yaghobi, H. ID 1
Rajabi Mashhadi, H. ID 2
Ansari, K. ID 3

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چکیده

This paper presents the application of radial basis neural networks to the development of a novel method for the condition monitoring and fault diagnosis of synchronous generators. In the proposed scheme, flux linkage analysis is used to reach a decision. Probabilistic neural network (PNN) and discrete wavelet transform (DWT) are used in ...

کلیدواژه‌ها
Radial basis neural network, Synchronous generator, Fault diagnosis, Linkage flux analysis.