Neural networks for wind turbine fault detection via current signature analysis

Cost-effective condition monitoring techniques are required to optimise wind turbine maintenance procedures. Current signature analysis investigates fault indications in the frequency spectrum of the electrical signal and is thereby able to detect mechanical faults without additional sensors. Due to...

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Bibliographic Details

Main Authors:	Raed Ibrahim, Jannis Weinert, Simon Watson
Format:	Default Conference proceeding
Published:	2016
Subjects:	Mechanical engineering not elsewhere classified Wind turbine Condition monitoring Fault detection Current signature analysis Neural networks Variable speed Mechanical Engineering not elsewhere classified
Online Access:	https://hdl.handle.net/2134/23014
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