A new wind turbine fault diagnosis method based on ensemble intrinsic time-scale decomposition and WPT-fractal dimension

Author:

Hu Aijun,Yan Xiaoan,Xiang Ling

Funder

National Natural Science Foundation of China

Hebei Provincial Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference31 articles.

1. A new wind turbine fault diagnosis method based on the local mean decomposition;Liu;Renew Energy,2012

2. Feature extraction method of wind turbine based on adaptive morlet wavelet and SVD;Jiang;Renew Energy,2011

3. The prediction and diagnosis of wind turbine faults;Kusiak;Renew Energy,2011

4. A data-driven approach for monitoring blade pitch faults in wind turbines;Kusiak;IEEE Trans Sustain Energy,2011

5. Rolling bearing fault diagnosis based on wavelet packet and improved bp neural network for wind turbines;Hou;Appl Mech Mater,2013

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