Fault diagnosis of wind turbine with SCADA alarms based multidimensional information processing method-Reference-Cited by-同舟云学术

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Fault diagnosis of wind turbine with SCADA alarms based multidimensional information processing method

Published:2020-01 Issue: Volume:145 Page:1923-1931
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Qiu Yingning,Feng Yanhui,Infield David

Funder

National Natural Science Foundation of China

Jiangsu Key Laboratory of Green Vessel Technology

Natural Science Foundation of Jiangsu Province

Jiangsu Top Six Talent Summit Fund

iangsu Key Laboratory of Green Vessel Technology

Natural Science Foundation of Jiangsu Province, China

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference39 articles.

1. Wind turbine condition monitoring: technical and commercial challenges;Yang;Wind Energy,2014

2. A review of recent advances in wind turbine condition monitoring and fault diagnosis;Lu,2009

3. Sensitivity analysis of offshore wind farm operation and maintenance cost and availability;Martin;Renew. Energy,2016

4. Wind turbine reliability: a comprehensive review towards effective condition monitoring development;Estefania;Appl. Energy,2018

5. Failure rate, repair time and unscheduled O&M cost analysis of offshore wind turbines;Carroll;Wind Energy,2016

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2. Fuzzy reliability evaluation and machine learning-based fault prediction of wind turbines;Journal of Industrial Information Integration;2024-07

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4. A Multi-Information Fusion Algorithm to Fault Diagnosis of Power Converter in Wind Power Generation Systems;IEEE Transactions on Industrial Informatics;2024-02

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