Fault diagnosis for a wind turbine transmission system based on manifold learning and Shannon wavelet support vector machine-Reference-Cited by-同舟云学术

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Fault diagnosis for a wind turbine transmission system based on manifold learning and Shannon wavelet support vector machine

Published:2014-02 Issue: Volume:62 Page:1-9
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Tang Baoping,Song Tao,Li Feng,Deng Lei

Funder

National Natural Science Foundation of China

Chongqing Natural Science Foundation for Distinguished Young Scholars

State Key Laboratory Of Mechanical Transmission in Chongqing University

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference21 articles.

1. The prediction and diagnosis of wind turbine faults;Kusiak;Renewable Energy,2011

2. Season-dependent condition-based maintenance for a wind turbine using a partially observed Markov decision process;Byon;IEEE Transactions on Power Systems,2010

3. On risk-based operation and maintenance of offshore wind turbine components;Nielsen;Reliability Engineering and System Safety,2011

4. Application of the ensemble empirical mode decomposition and Hilbert transform to pedestal looseness study of direct-drive wind turbine;An;Energy,2011

5. Fault diagnosis for wind turbine planetary gearboxes via demodulation analysis based on ensemble empirical mode decomposition and energy separation;Feng;Renewable Energy,2012

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