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자료유형
학술저널
저자정보
Preeti Wanti Srivastava (University of Delhi) Nidhi Jain (University of Delhi)
저널정보
한국신뢰성학회 International Journal of Reliability and Applications International Journal of Reliability and Applications 제14권 제2호
발행연도
2013.12
수록면
55 - 70 (16page)

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초록· 키워드

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This paper deals with the Bayesian analysis of the failure data of a repairable mechanical system subject to minimal repairs and periodic overhauls. The effect of overhauls on the reliability of the system is modeled by a proportional age reduction model and the failure process between two successive overhauls is assumed to be 2-parameter Engelhardt-Bain process (2-EBP). Power Law Process (PLP) model has a disadvantage which 2-EBP can overcome. On the basis of the observed data and of a number of suitable prior densities, point and interval estimation of model parameters, as well as quantities of relevant interest are found. Also hypothesis tests on the effectiveness of performed overhauls have been developed using Bayes factor. Sensitivity analysis of improvement parameter is carried out. Finally, a numerical application is used to illustrate the proposed method.

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Abstract
1. INTRODUCTION
2. BASIC ASSUMPTIONS
3. MODEL FORMULATION
4. LIKELIHOOD FUNCTION
5. BAYESIAN PROCEDURE
6. POSTERIOR INFERENCE ON THE PARAMETERS
7. POSTERIOR INFERENCE ON THE INTENSITY FUNCTION
8. POSTERIOR INFERENCE ON THE EXPECTED NUMBER OF FAILURES
9. BAYES TESTING
10. SENSITIVITY ANALYSIS
11. NUMERICAL APPLICATION
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UCI(KEPA) : I410-ECN-0101-2015-320-001089074