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Health Assessment Methods for Wind Turbines Based on Power Prediction and Mahalanobis Distance

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成果类型:
期刊论文
作者:
Zhan, Jun*;Wang, Ronglin;Yi, Lingzhi;Wang, Yaguo;Xie, Zhengjuan
通讯作者:
Zhan, Jun
作者机构:
[Zhan, Jun] Hunan Ulitech Automat Syst Co Ltd, Chansha, Peoples R China.
[Zhan, Jun] New Tech Open Lab Windpower, Changsha 410005, Hunan, Peoples R China.
[Wang, Ronglin] Cent South Univ Forestry & Technol, Changsha 410004, Hunan, Peoples R China.
[Yi, Lingzhi] Xiangtan Univ, Coll Informat Engn, Xiangtan 411105, Hunan, Peoples R China.
[Wang, Yaguo] Jiangxi Univ Sci & Technol, Ganzhou 341000, Jiangxi, Peoples R China.
通讯机构:
[Zhan, Jun] H
[Zhan, Jun] N
Hunan Ulitech Automat Syst Co Ltd, Chansha, Peoples R China.
New Tech Open Lab Windpower, Changsha 410005, Hunan, Peoples R China.
语种:
英文
关键词:
Artificial intelligence;signal processing;data mining;wind power generation;Mahalanobis distance;status assessment
期刊:
International Journal of Pattern Recognition and Artificial Intelligence
ISSN:
0218-0014
年:
2019
卷:
33
期:
02
页码:
1951001
基金类别:
National Natural Science Foundation of China#&#&#NO.61572416 Hunan province Natural science Zhuzhou United foundation#&#&#NO.2016JJ5033 Doctoral research project of Hunan Province#&#&#NO.16PYZ022 Product-Study-Research project of Hunan province#&#&#NO.16QDZ07
机构署名:
本校为其他机构
摘要:
The output power of wind turbine has great relation with its health state, and the health status assessment for wind turbines influences operational maintenance and economic benefit of wind farm. Aiming at the current problem that the health status for the whole machine in wind farm is hard to get accurately, in this paper, we propose a health status assessment method in order to assess and predict the health status of the whole wind turbine, which is based on the power prediction and Mahalanobis distance (MD). Firstly, on the basis of Bates theory, the scientific analysis for historical data ...

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