Wind Turbine Gearbox Fault Diagnosis Based on Improved EEMD and Hilbert Square Demodulation-Reference-Cited by-同舟云学术

Wind Turbine Gearbox Fault Diagnosis Based on Improved EEMD and Hilbert Square Demodulation

Published:2017-01-26 Issue:2 Volume:7 Page:128
ISSN:2076-3417
Container-title:Applied Sciences
language:en
Short-container-title:Applied Sciences

Author:

Chen Huanguo,Chen Pei,Chen Wenhua,Wu Chuanyu,Li Jianmin,Wu Jianwei

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Link

http://www.mdpi.com/2076-3417/7/2/128/pdf

Reference27 articles.

1. Wind turbine blade health monitoring with piezoceramic-based wireless sensor network

2. A time–frequency analysis approach for condition monitoring of a wind turbine gearbox under varying load conditions

3. Generalized empirical mode decomposition and its applications to rolling element bearing fault diagnosis

4. New clustering algorithm-based fault diagnosis using compensation distance evaluation technique

5. Rolling element bearing fault diagnosis using wavelet packets;Nikolaou;NDT & E Int.,2002

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