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A Fatigue Life Prediction Method for the Drive System of Wind Turbine Using Internet of Things
المؤلفون المشاركون
Zhou, Hang
Yi, Shi-Jun
Liu, Ya-Fei
Hu, Yong-Quan
Xiang, Yong
المصدر
Advances in Materials Science and Engineering
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-08-27
دولة النشر
مصر
عدد الصفحات
8
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1129515
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
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