Fault diagnosis for induction generator-based wind turbine using ensemble deep learning techniques

Fault diagnosis for induction generator-based wind turbine using ensemble deep learning techniques

Fault diagnosis in induction machines (IM) require effective detection at early stages to prevent permanent machine failure. This requires fast sensing of disturbances as well as efficient diagnosis methods. Conventional signal measuring techniques are usually intrusive, sensitive, with a low signal...

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Bibliographic Details
Main Authors: Omneya Attallah, Rania A. Ibrahim, Nahla E. Zakzouk
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Energy Reports
Subjects:
Wind turbine inter-turn faults
Condition monitoring
Fault diagnosis
Infrared thermal imaging
Ensemble deep learning
Renewable energy generating
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484722018650

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http://www.sciencedirect.com/science/article/pii/S2352484722018650

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