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An evaluation method of health condition for wind turbine based on asymmetric proximity

Authors :
Haifeng Zhang
Bingjie Xiu
Dongxiao Jiang
Guanqun Zhuang
Yifu Zhang
Benxin Li
Source :
Frontiers in Energy Research, Vol 11 (2023)
Publication Year :
2023
Publisher :
Frontiers Media S.A., 2023.

Abstract

The accurate condition assessment of wind turbines greatly influences the refined asset management and maintenance scheduling of wind farms. To address the challenges of existing assessment methods in selecting the reliability value and determining wind turbine status levels of being in transition, this study proposes a wind turbine condition evaluation method based on asymmetric proximity. Firstly, the state evaluation index system consisting of the wind turbine performance and output state indices is constructed, and the weighting factors are calculated comprehensively by integrating the subjective and objective weights. Then, the membership function of the index layer is established based on the set pair analysis, and the membership of the target layer is deduced by the weighted average operator. Finally, the proximity degrees between status levels and target membership degrees are calculated, and the wind turbine state is determined based on the proximity principle. Case studies demonstrate that the accuracy rate of the proposed method is up to 97%, which is 6% and 8% higher than the maximum membership principle and the reliability criterion, respectively.

Details

Language :
English
ISSN :
2296598X
Volume :
11
Database :
Directory of Open Access Journals
Journal :
Frontiers in Energy Research
Publication Type :
Academic Journal
Accession number :
edsdoj.282d18de69ab42f0baf7a0dceaf72083
Document Type :
article
Full Text :
https://doi.org/10.3389/fenrg.2023.1111355