A methodological approach for detecting multiple faults in wind turbine blades based on vibration signals and machine learning

Wind turbines generate clean and renewable energy for the international market. The most ‎‎important aspect of wind turbine maintenance is reducing failures, downtime, and operating and maintenance expenses. ‎This study aims to detect multiple faults exhibited by wind turbine blades; failures such a...

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Bibliographic Details
Main Authors: Ogaili Ahmed Ali Farhan, Jaber Alaa Abdulhady, Hamzah Mohsin Noori
Format: Article
Language:English
Published: De Gruyter 2023-09-01
Series:Curved and Layered Structures
Subjects:
Online Access:https://doi.org/10.1515/cls-2022-0214