A Fatigue Life Prediction Method for the Drive System of Wind Turbine Using Internet of Things
Joint Authors
Zhou, Hang
Yi, Shi-Jun
Liu, Ya-Fei
Hu, Yong-Quan
Xiang, Yong
Source
Advances in Materials Science and Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-27
Country of Publication
Egypt
No. of Pages
8
Abstract EN
The wind turbine drive system is one of the key components in converting wind energy into electrical energy.
The life prediction of drive system is very important for the maintenance of wind turbine.
With increasing capacity, the wind turbine system has become more complicated.
Consequently, for the life prediction of drive system, it is necessary to consider the problems of multi-information fusion of big data, quantification of time-varying dynamic loads, and analysis of multiple-damage coupling.
In order to solve the above challenges, the fatigue life analysis and evaluation method considering the interaction of coupled multiple damages are proposed in this study.
The hierarchical Bayesian theory with fault physics technology is introduced to deal with the uncertainty of wind turbine drive system.
Then, a time-varying performance analysis model is established based on the multiple-damage coupling competition failure mechanism.
Moreover, the Internet of Things (IoT) technology is introduced and combined with the proposed model.
Through the data collection by IoT, the time-stress curve of drive system can be obtained.
A case study about the remaining fatigue life estimation of drive system is utilized to illustrate the effectiveness of the proposed method.
American Psychological Association (APA)
Zhou, Hang& Yi, Shi-Jun& Liu, Ya-Fei& Hu, Yong-Quan& Xiang, Yong. 2020. A Fatigue Life Prediction Method for the Drive System of Wind Turbine Using Internet of Things. Advances in Materials Science and Engineering،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1129515
Modern Language Association (MLA)
Zhou, Hang…[et al.]. A Fatigue Life Prediction Method for the Drive System of Wind Turbine Using Internet of Things. Advances in Materials Science and Engineering No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1129515
American Medical Association (AMA)
Zhou, Hang& Yi, Shi-Jun& Liu, Ya-Fei& Hu, Yong-Quan& Xiang, Yong. A Fatigue Life Prediction Method for the Drive System of Wind Turbine Using Internet of Things. Advances in Materials Science and Engineering. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1129515
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1129515