Fault Diagnosis Strategy for Wind Turbine Generator Based on the Gaussian Process Metamodel
المؤلفون المشاركون
Zhang, Dongmei
Yuan, Jun
Zhu, Jiang
Ji, Qingchang
Zhang, Xintong
Liu, Hao
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-01-21
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1195084
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر