"State-of-the-art of machine learning methods for fault detection and ..."

Abebe Wolie Yimam et al. (2025)

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DOI: 10.1016/J.ENGAPPAI.2025.112645

access: closed

type: Journal Article

metadata version: 2025-11-15

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Abebe Wolie Yimam, Majid Vafaeipour, Maarten Messagie, Kinde Anlay Fante, Emiyamrew Minaye Molla, Tefera Mekonnen Azerefegn, Thierry Coosemans:
State-of-the-art of machine learning methods for fault detection and health monitoring of wind turbine system components: A comprehensive review. Eng. Appl. Artif. Intell. 162: 112645 (2025)

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