Electrical and Computer Engineering, Department of

 

Department of Electrical and Computer Engineering: Faculty Publications

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Document Type

Article

Date of this Version

2015

Citation

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS Year: 2015, Volume: PP, Issue: 99

Comments

Copyright 2015 IEEE

Abstract

This paper provides a comprehensive survey on the state-of-the-art condition monitoring and fault diagnostic technologies for wind turbines. The Part II of this survey focuses on the signals and signal processing methods used for wind turbine condition monitoring and fault diagnosis.

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