Title:
FEEDBACK OPTIMIZATION-BASED WIND TURBINE BLADE FAULT MONITORING METHOD
Document Type and Number:
WIPO Patent Application WO/2022/166527
Kind Code:
A1
Abstract:
A feedback optimization-based wind turbine blade fault monitoring method, comprising the following steps: step I, constructing a data set for wind turbine blade state monitoring; step II, constructing a support vector machine model to segment the feature space of wind turbine blade data;
step III, performing optimization solution on parameters of the support vector machine model; and step IV, evaluating the support vector machine model. Said method aims to solve the technical problem that in the existing wind turbine blade fault monitoring method, a single factor is considered, and the single factor does not necessarily have an absolute correlation with a wind turbine blade fault, which causes that a wind turbine blade fault cannot be effectively and accurately monitored; in addition, the problem of wind turbine blade faults is complex, and the existing algorithm has a large number of iterations and a large amount of calculation and is easy to fall into a local optimal solution, not being able to well meet the requirements of wind turbine blade fault monitoring.
Inventors:
YU AO (CN)
ZHANG YAPING (CN)
WANG FANGZHENG (CN)
TANG PENG (CN)
ZOU ZUBING (CN)
ZHU XIAOYI (CN)
ZHANG YAPING (CN)
WANG FANGZHENG (CN)
TANG PENG (CN)
ZOU ZUBING (CN)
ZHU XIAOYI (CN)
Application Number:
PCT/CN2022/070901
Publication Date:
August 11, 2022
Filing Date:
January 10, 2022
Export Citation:
Assignee:
CHINA THREE GORGES CORP (CN)
International Classes:
G06F30/27
Foreign References:
| CN112800682A | 2021-05-14 | |||
| CN102944418A | 2013-02-27 | |||
| CN111351668A | 2020-06-30 | |||
| CN110969096A | 2020-04-07 | |||
| US20170161606A1 | 2017-06-08 |
Attorney, Agent or Firm:
YICHANG THREE GORGES PATENT (CN)
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