Estimation on Reliability Models of Bearing Failure Data
Joint Authors
Xia, Xintao
Chang, Zhen
Lijun, Zhang
Xiaowei, Yang
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-21, 21 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-26
Country of Publication
Egypt
No. of Pages
21
Main Subjects
Abstract EN
The failure data of bearing products is random and discrete and shows evident uncertainty.
Is it accurate and reliable to use Weibull distribution to represent the failure model of product? The Weibull distribution, log-normal distribution, and an improved maximum entropy probability distribution were compared and analyzed to find an optimum and precise reliability analysis model.
By utilizing computer simulation technology and k-s hypothesis testing, the feasibility of three models was verified, and the reliability of different models obtained via practical bearing failure data was compared and analyzed.
The research indicates that the reliability model of two-parameter Weibull distribution does not apply to all situations, and sometimes, two-parameter log-normal distribution model is more precise and feasible; compared to three-parameter log-normal distribution model, the three-parameter Weibull distribution manifests better accuracy but still does not apply to all cases, while the novel proposed model of improved maximum entropy probability distribution fits not only all kinds of known distributions but also poor information issues with unknown probability distribution, prior information, or trends, so it is an ideal reliability analysis model with least error at present.
American Psychological Association (APA)
Xia, Xintao& Chang, Zhen& Lijun, Zhang& Xiaowei, Yang. 2018. Estimation on Reliability Models of Bearing Failure Data. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-21.
https://search.emarefa.net/detail/BIM-1208252
Modern Language Association (MLA)
Xia, Xintao…[et al.]. Estimation on Reliability Models of Bearing Failure Data. Mathematical Problems in Engineering No. 2018 (2018), pp.1-21.
https://search.emarefa.net/detail/BIM-1208252
American Medical Association (AMA)
Xia, Xintao& Chang, Zhen& Lijun, Zhang& Xiaowei, Yang. Estimation on Reliability Models of Bearing Failure Data. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-21.
https://search.emarefa.net/detail/BIM-1208252
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208252