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Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2007, Vol. 8 Issue (3 ): 29-    DOI: 10.1631/jzus.2007.A0501
    
Application of the Bayes’ theory to the failure rate evaluation of electrical apparatus
JIN Shao-hua, LU Jian-guo, WAN Yan-ping, SUN Shu-guang
Department of Mathematics, Hebei University of Technology, Tianjin 300130, China
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Abstract  The Weibull distribution has been widely used in reliability fields. A mixed Weibull distribution represents a population that consists of several Weibull subpopulations. In this paper, a new approach which combines the least-squares method with Bayes’ theorem, takes advantage of the parameter estimation for single Weibull distribution is developed to estimate the parameters of each subpopulation. The estimates given by this paper also satisfy the maximum likelihood equation. The estimates of the failure rate of the mixed Weibull population are given. An actual test data is computed by using the proposed method. The Kolmogorov-Smirnov goodness-of-fit test turns out that the proposed method yields more accurate result.

Key wordsBayesian estimation      Failure rate      Least-squares method      Maximum likelihood principle      Mixed-Weibull distribution     
Received: 19 December 2006     
CLC:  TM7321  
Cite this article:

JIN Shao-hua, LU Jian-guo, WAN Yan-ping, SUN Shu-guang. Application of the Bayes’ theory to the failure rate evaluation of electrical apparatus. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2007, 8(3 ): 29-.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2007.A0501     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2007/V8/I3 /29

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