Application of Bayesian Method in Assessing Reliability Parameters of Mechanical Product

Abstract:

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When assessing the reliability parameters, the traditional method is to deal with a large quantity of data obtained through test and to get the result with high confidence. But small sample size and the lack of test data of mechanical items make the traditional method have weakness. If the Bayesian method can be used properly, accurate assessment will be derived even if it is lack of data. What is discussed in this paper are: 1) determination of prior distribution, 2) reliability assessment based on pass/fail data with Beta distribution, Gamma distribution and cut-tail normal distribution as prior distribution, and 3) reliability assessment based on time-to-failure with Weibull distribution and normal distribution as prior distribution.

Info:

Periodical:

Advanced Materials Research (Volumes 199-200)

Edited by:

Jianmin Zeng, Zhengyi Jiang, Taosen Li, Daoguo Yang and Yun-Hae Kim

Pages:

587-590

DOI:

10.4028/www.scientific.net/AMR.199-200.587

Citation:

Y. L. Cui and W. Wu, "Application of Bayesian Method in Assessing Reliability Parameters of Mechanical Product", Advanced Materials Research, Vols. 199-200, pp. 587-590, 2011

Online since:

February 2011

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Price:

$38.00

[1] Chao Wang: Mechanical Reliability Engineering (Metallurgical Industry Publishing Housing, Beijing 1992, In Chinese).

[2] Junchen Zhao (translate). Mechanical Reliability Engineering of Russian (Academy of Armored Force Engineering, Beijing 1996, In Chinese).

[3] Sylvia Camposonico: Annual Reliability and Maintainability Symposium (1993), P. 163.

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