Fault Diagnosis Strategy for Wind Turbine Generator Based on the Gaussian Process Metamodel
Joint Authors
Zhang, Dongmei
Yuan, Jun
Zhu, Jiang
Ji, Qingchang
Zhang, Xintong
Liu, Hao
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-21
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
To facilitate continuous development of the wind power industry, maintaining technological innovation and reducing cost per kilowatt hour of the electricity generated by the wind turbine generator system (WTGS) are effective measures to facilitate the industrial development.
Therefore, the improvement of the system availability for wind farms becomes an important issue which can significantly reduce the operational cost.
To improve the system availability, it is necessary to diagnose the system fault for the wind turbine generator so as to find the key factors that influence the system performance and further reduce the maintenance cost.
In this paper, a wind farm with 200 MW installed capacity in eastern coastal plain in China is chosen as the research object.
A prediction model of wind farm’s faults is constructed based on the Gaussian process metamodel.
By comparing with actual observation results, the constructed model is proved able to predict failure events of the wind turbine generator accurately.
The developed model is further used to analyze the key factors that influence the system failure.
These are conducive to increase the running and maintenance efficiency in wind farms, shorten downtime caused by failure, and increase earnings of wind farms.
American Psychological Association (APA)
Zhang, Dongmei& Yuan, Jun& Zhu, Jiang& Ji, Qingchang& Zhang, Xintong& Liu, Hao. 2020. Fault Diagnosis Strategy for Wind Turbine Generator Based on the Gaussian Process Metamodel. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1195084
Modern Language Association (MLA)
Zhang, Dongmei…[et al.]. Fault Diagnosis Strategy for Wind Turbine Generator Based on the Gaussian Process Metamodel. Mathematical Problems in Engineering No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1195084
American Medical Association (AMA)
Zhang, Dongmei& Yuan, Jun& Zhu, Jiang& Ji, Qingchang& Zhang, Xintong& Liu, Hao. Fault Diagnosis Strategy for Wind Turbine Generator Based on the Gaussian Process Metamodel. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1195084
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1195084