Multifractional Brownian Motion and Quantum-Behaved Partial Swarm Optimization for Bearing Degradation Forecasting
المؤلفون المشاركون
Wanqing, Song
Cattani, Carlo
Chen, Xiaoxian
Zio, Enrico
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-01-31
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Gradual degradation of the bearing vibration signal is usually studied as a nonstationary stochastic time series.
Roller bearings are working at high speed in a heavy load environment so that the combination of bearing faults gradually degraded during the rotation might lead to unpredicted catastrophic accidents.
The degradation process has the property of long-range dependence (LRD), so that the fractional Brownian motion (fBm) is taken into account for a prediction model.
Because of the dramatic changes in the bearing degradation process, the Hurst exponent that describes the fBm will change during the degradation process.
A priori Hurst value of the conventional fBm in the prediction is fixed, thus inducing a minor accuracy of the prediction.
To avoid this problem, we propose an improved prediction method.
Based on the following steps, at the initial data processing, a skip-over factor is selected as the characteristics parameter of the bearing degradation process.
A multifractional Brownian motion (mfBm) replaces the fBm for the degradation modeling.
We will show that also our mfBm has the same property of long-range dependence as the fBm.
Moreover, a time-varying Hurst exponent H(t) is taken to replace the constant H in fBm.
Finally, we apply the quantum-behaved partial swarm optimization (QPSO) to optimize H(t) for a finite interval.
Some tests and corresponding experimental results will show that our model QPSO + mfBm have a much better performance on the prediction effect than fBm.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wanqing, Song& Chen, Xiaoxian& Cattani, Carlo& Zio, Enrico. 2020. Multifractional Brownian Motion and Quantum-Behaved Partial Swarm Optimization for Bearing Degradation Forecasting. Complexity،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1144424
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wanqing, Song…[et al.]. Multifractional Brownian Motion and Quantum-Behaved Partial Swarm Optimization for Bearing Degradation Forecasting. Complexity No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1144424
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wanqing, Song& Chen, Xiaoxian& Cattani, Carlo& Zio, Enrico. Multifractional Brownian Motion and Quantum-Behaved Partial Swarm Optimization for Bearing Degradation Forecasting. Complexity. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1144424
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1144424
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