We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
A SVR-Based Remaining Life Prediction for Rolling Element Bearings.
- Authors
Wang, Xiao-lin; Gu, Han; Xu, Li; Hu, Cun; Guo, Hui
- Abstract
A new approach is proposed to construct a reasonable prediction model for prognostic. The Gaussian mixture model-based health indicator is used for degradation performance and help to determine the threshold of the incipient fault. The support vector regression is joined with least mean square algorithm for the construction of the adaptive prediction model based on the historical data and the online monitoring data. According to the failure threshold, the remaining life can be obtained. Through experimental verification, the results show that the selected health index is able to effectively reflect the degradation of rolling bearings, and the proposed model shows great prediction accuracy in comparison to the common one.
- Subjects
BEARINGS (Machinery); REMAINING life assessment (Engineering); SUPPORT vector machines; PREDICTION models; FAILURE analysis
- Publication
Journal of Failure Analysis & Prevention, 2015, Vol 15, Issue 4, p548
- ISSN
1547-7029
- Publication type
Article
- DOI
10.1007/s11668-015-9976-x