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An integrated fault diagnosis and prognosis approach for predictive maintenance of wind turbine bearing with limited samples

  • Published:2020-01 Issue: Volume:145 Page:642-650
  • ISSN:0960-1481
  • Container-title:Renewable Energy
  • language:en
  • Short-container-title:Renewable Energy

Author:

Wang Jinjiang,Liang Yuanyuan,Zheng Yinghao,Gao Robert X.,Zhang Fengli

Funder

National Basic Research Program of China

National Natural Science Foundation of China

Science Foundation of China University of Petroleum, Beijing

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference47 articles.

1. Value of wind power – implications from specific power;Johansson;Energy,2017

2. Opportunities and challenges for a sustainable energy future;Chu;Nature,2012

3. Wind turbine condition monitoring and fault diagnosis in China;Chen;IEEE Instrum. Meas. Mag.,2016

4. 2017 Wind Technologies Market Report,2018

5. Reliability analysis for wind turbines;Tavner;Wind Energy,2007

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