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2013 (Vol. 6, Issue: 05)
Article Information:

Evaluation for Confidence Interval of Reliability of Rolling Bearing Lifetime with Type I Censoring

Xintao Xia, Yinping Jin, Yantao Shang and Long Chen
Corresponding Author:  Xintao Xia 

Key words:  Bearing failure, fatigue testing, life assessment, probability, reliability analysis, ,
Vol. 6 , (05): 835-843
Submitted Accepted Published
September 28, 2012 November 26, 2012 June 25, 2013
Abstract:

In the lifetime test of rolling bearings under type I censoring with a small sample, the confidence interval of reliability needs to be evaluated to ensure safe and reliable operation of a system like an aerospace system. Thus the probability density function of Weibull distribution parameters must be attained. Owing to very few test data and for lack of prior knowledge, it is difficult to take it out for prevailing methods like the moment method, the maximum likelihood method and the Harris method. For this end, the bootstrap likelihood maximum-entropy method is proposed by fusing the bootstrap method, the maximum likelihood method and the Harris method. The lifetime test data with the small sample are made into the simulated parameter data with the large sample to obtain the probability density function on the parameters. The confidence intervals of the Weibull distribution parameters are estimated and the confidence interval of reliability is calculated. The tests of the complete large-sample data, the complete small-sample data and the incomplete small-sample data are produced to prove effectiveness of the proposed method. Results show that the proposed method can assess the confidence interval of the reliability without any prior information on the Weibull distribution parameters.
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  Cite this Reference:
Xintao Xia, Yinping Jin, Yantao Shang and Long Chen, 2013. Evaluation for Confidence Interval of Reliability of Rolling Bearing Lifetime with Type I Censoring.  Research Journal of Applied Sciences, Engineering and Technology, 6(05): 835-843.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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