Adaptive fault detection and tracking for a wind turbine generator using Kalman filter

This paper describes a wind turbine (WT) condition monitoring technique that uses the measurement of stator current and rotational speed to derive a fault detection signal. The detection algorithm uses a Kalman filter (KF) to extract and track the strength of particular frequency components, charact...

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Bibliographic Details
Main Authors: Raed Ibrahim, Abdullahi Daniyan, Simon Watson
Format: Default Conference proceeding
Published: 2016
Subjects:
Online Access:https://hdl.handle.net/2134/22951
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