A multi-time scale approach to remaining useful life prediction in rolling bearing
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- 作者：Yuning Qiana ; b ; inter101010@sina.com" class="auth_mail" title="E-mail the corresponding author ; Ruqiang Yana ; c ; Ruqiang@seu.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Robert X. Gaoc ; Robert.gao@case.edu" class="auth_mail" title="E-mail the corresponding author
- 关键词：Multi-time scale modeling ; Enhanced phase space warping ; Modified Paris crack growth model ; RUL prediction ; Rolling bearing
- 刊名：Mechanical Systems and Signal Processing
- 出版年：2017
- 出版时间：15 January 2017
- 年：2017
- 卷：83
- 期：Complete
- 页码：549-567
- 全文大小：1491 K
文摘
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We investigate a multi-time scale modelling approach for RUL prediction of rolling bearings.
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Phase space warping (PSW) technique is used to describe a dynamic system in a fast-time scale.
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Paris crack growth model is a used to characterize the dynamic system in a slow-time scale.
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The multi-time scale modeling approach can well track evolution of the bearing failure and accurately predict its RUL.