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Dynamic Behavior Analysis of Touchdown Process in Active Magnetic Bearing System Based on a Machine Learning Method
المؤلفون المشاركون
Sun, Zhe
Yan, Xunshi
Zhao, Jingjing
Kang, Xiao
Yang, Guojun
Shi, Zhengang
المصدر
Science and Technology of Nuclear Installations
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-10-18
دولة النشر
مصر
عدد الصفحات
11
الملخص EN
Magnetic bearings are widely applied in High Temperature Gas-cooled Reactor (HTGR) and auxiliary bearings are important backup and safety components in AMB systems.
The performance of auxiliary bearings significantly affects the reliability, safety, and serviceability of the AMB system, the rotating equipment, and the whole reactor.
Research on the dynamic behavior during the touchdown process is crucial for analyzing the severity of the touchdown.
In this paper, a data-based dynamic analysis method of the touchdown process is proposed.
The dynamic model of the touchdown process is firstly established.
In this model, some specific mechanical parameters are regarded as functions of deformation of auxiliary bearing and velocity of rotor firstly; furthermore, a machine learning method is utilized to model these function relationships.
Based on the dynamic model and the Kalman filtering technique, the proposed method can offer estimation of the rotor motion state from noisy observations.
In addition, the estimation precision is significantly improved compared with the method without learning.
The proposed method is validated by the experimental data from touchdown experiments.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Sun, Zhe& Yan, Xunshi& Zhao, Jingjing& Kang, Xiao& Yang, Guojun& Shi, Zhengang. 2017. Dynamic Behavior Analysis of Touchdown Process in Active Magnetic Bearing System Based on a Machine Learning Method. Science and Technology of Nuclear Installations،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1203586
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Sun, Zhe…[et al.]. Dynamic Behavior Analysis of Touchdown Process in Active Magnetic Bearing System Based on a Machine Learning Method. Science and Technology of Nuclear Installations No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1203586
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Sun, Zhe& Yan, Xunshi& Zhao, Jingjing& Kang, Xiao& Yang, Guojun& Shi, Zhengang. Dynamic Behavior Analysis of Touchdown Process in Active Magnetic Bearing System Based on a Machine Learning Method. Science and Technology of Nuclear Installations. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1203586
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1203586
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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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
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