Optimised Neural Network Model for Wind Turbine DFIG Converter Fault Diagnosis

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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Bibliographic Details
Main Authors: Ramesh Kumar Behara, Akshay Kumar Saha
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Energies
Subjects:
doubly fed induction generator
fault diagnosis
grid side converter
variational mode decomposition
convolutional neural network
long short-term memory
Online Access:https://www.mdpi.com/1996-1073/18/13/3409
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