Optimised Neural Network Model for Wind Turbine DFIG Converter Fault Diagnosis

This research introduces an enhanced fault detection approach, variational mode decomposition (VMD), for identifying open-circuit IGBT faults in the grid-side converter (GSC) of a doubly fed induction generator (DFIG) wind turbine system. VMD has many advantages over other decomposition methods, not...

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發表在:	Energies
Main Authors:	Ramesh Kumar Behara, Akshay Kumar Saha
格式:	Article
語言:	英语
出版:	MDPI AG 2025-06-01
主題:	doubly fed induction generator fault diagnosis grid side converter variational mode decomposition convolutional neural network long short-term memory
在線閱讀:	https://www.mdpi.com/1996-1073/18/13/3409