Fuzzy synthetic condition assessment of wind turbine based on combination weighting and cloud model

Author:

Zheng Kai1,Han Lina2,Guo Shuli3,Wang Zhenyu4,Zhang Xinmiao1,Dong Xinghui1

Affiliation:

1. College of Energy Power and Mechanical Engineering, North China Electric Power University, ChangPing District, Beijing, China

2. Department of Cardiovascular Internal Medicine, Nanlou Branch of Chinese PLA General Hosptal, Beijing, China

3. School of Automation, Beijing Institute of Technology, Beijing, China

4. School of Control and Computer Engineering, North China Electric Power University, ChangPing District, Beijing, China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference20 articles.

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

2. A survey of health monitoring systems for wind turbines;Wymore;Renew Sust Energ Rev,2015

3. An improved fuzzy synthetic condition assessment of a wind turbine generator system;Li;Int J Elec Power,2013

4. A brief status on condition monitoring and fault diagnosis energy conversion systems;Amirant;Renew Sust Energ Rev,2009

5. Condition monitoring and fault detection of wind turbines and related algorithms: A review;Hameed;Renew Sust Energ Rev,2009

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