Remaining Useful Life Prediction for Rotating Machinery Based on Optimal Degradation Indicator
المؤلفون المشاركون
Zhang, Qinghua
Qin, Aisong
Hu, Qin
Sun, Guoxi
He, Jun
Lin, Shuiquan
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-03-22
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
Remaining useful life (RUL) prediction can provide early warnings of failure and has become a key component in the prognostics and health management of systems.
Among the existing methods for RUL prediction, the Wiener-process-based method has attracted great attention owing to its favorable properties and flexibility in degradation modeling.
However, shortcomings exist in methods of this type; for example, the degradation indicator and the first predicting time (FPT) are selected subjectively, which reduces the prediction accuracy.
Toward this end, this paper proposes a new approach for predicting the RUL of rotating machinery based on an optimal degradation indictor.
First, a genetic programming algorithm is proposed to construct an optimal degradation indicator using the concept of FPT.
Then, a Wiener model based on the obtained optimal degradation indicator is proposed, in which the sensitivities of the dimensionless parameters are utilized to determine the FPT.
Finally, the expectation of the predicted RUL is calculated based on the proposed model, and the estimated mean degradation path is explicitly derived.
To demonstrate the validity of this model, several experiments on RUL prediction are conducted on rotating machinery.
The experimental results indicate that the method can effectively improve the accuracy of RUL prediction.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Qin, Aisong& Zhang, Qinghua& Hu, Qin& Sun, Guoxi& He, Jun& Lin, Shuiquan. 2017. Remaining Useful Life Prediction for Rotating Machinery Based on Optimal Degradation Indicator. Shock and Vibration،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1204835
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Qin, Aisong…[et al.]. Remaining Useful Life Prediction for Rotating Machinery Based on Optimal Degradation Indicator. Shock and Vibration No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1204835
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Qin, Aisong& Zhang, Qinghua& Hu, Qin& Sun, Guoxi& He, Jun& Lin, Shuiquan. Remaining Useful Life Prediction for Rotating Machinery Based on Optimal Degradation Indicator. Shock and Vibration. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1204835
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1204835
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