A prediction method for the real-time remaining useful life of wind turbine bearings based on the Wiener process-Reference-Cited by-同舟云学术

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A prediction method for the real-time remaining useful life of wind turbine bearings based on the Wiener process

Published:2018-11 Issue: Volume:127 Page:452-460
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Hu Yaogang^ORCID,Li Hui,Shi Pingping,Chai Zhaosen,Wang Kun,Xie Xiangjie,Chen Zhe

Funder

Chongqing Scientific &Technological Talents Program

National Natural Science Foundation of China

NSFC

Fundamental Research Funds

Chongqing Artificial Intelligence Technology Innovation Project

Chongqing Society

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference26 articles.

1. Cost-effective condition monitoring for wind turbines;Yang;IEEE Trans. Ind. Electron.,2010

2. Wind turbine condition monitoring: state-of the-art review, new trends, and future challenges;Tchakoua;Energies,2014

3. Vibration-based bearing fault detection for operations and maintenance cost reduction in wind energy;Peeters;Renew. Energy,2018

4. Diagnostics of bearings in presence of strong operating conditions non-stationarity: a procedure of load-dependent features processing with application to wind turbine bearings;Zimroz;Mech. Syst. Signal Process.,2014

5. Vibration condition monitoring system for wind turbine bearings based on noise suppression with multi-point data fusion;Yang;Renew. Energy,2016

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