Fault diagnosis of wind turbine bearing based on variational mode decomposition and Teager energy operator-Reference-Cited by-同舟云学术

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Fault diagnosis of wind turbine bearing based on variational mode decomposition and Teager energy operator

Published:2016-07-08 Issue:4 Volume:11 Page:453-460
ISSN:1752-1416
Container-title:IET Renewable Power Generation
language:en
Short-container-title:IET Renewable Power Generation

Author:

Zhao Hongshan¹,Li Lang¹

Affiliation:

1. School of Electrical and Electronic EngineeringNorth China Electric Power UniversityBaodingPeople's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-rpg.2016.0070

Reference26 articles.

1. Fault diagnosis of wind turbine based on multi‐sensors information fusion technology

2. Comparison of methods for wind turbine condition monitoring with SCADA data

3. Automated on‐line fault prognosis for wind turbine pitch system using supervisory control and data acquisition;Bindi C.;IET Renew. Power Gener.,2015

4. Condition monitoring of wind turbine induction generators with rotor electrical asymmetry

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

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