Incipient detection of stator inter‐turn short‐circuit faults in a Doubly‐Fed Induction Generator using deep learning

Incipient detection of stator inter‐turn short‐circuit faults in a Doubly‐Fed Induction Generator using deep learning

Abstract Wind turbines are increasingly expanding worldwide and Doubly‐Fed Induction Generator (DFIG) is a key component of most of them. Stator winding fault is a major fault in this equipment and its incipient detection is of vital importance. However, there is a paucity of research in this field....

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Bibliographic Details
Main Authors: Ghasem Alipoor, Seyed Jafar Mirbagheri, Seyed Mohammad Mahdi Moosavi, Sérgio M. A. Cruz
Format: Article
Language:English
Published: Wiley 2023-02-01
Series:IET Electric Power Applications
Subjects:
deep learning
doubly‐fed induction generator (DFIG)
empirical mode decomposition (EMD)
fault detection
feature selection
inter‐turn short‐circuit fault
Online Access:https://doi.org/10.1049/elp2.12262

Internet

https://doi.org/10.1049/elp2.12262

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