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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국산업응용수학회 JOURNAL OF THE KOREAN SOCIETY FOR INDUSTRIAL AND APPLIED MATHEMATICS Journal of the Korean Society for Industrial and Applied Mathematics IT Series Vol.10 No.2
- 발행연도
- 2006.12
- 수록면
- 41 - 47 (7page)
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초록· 키워드
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The Renewal process and the Non-homogeneous Poisson process (NHPP) process are probably the most popular models for describing the failure pattern of repairable systems. But both these models are based on too restrictive assumptions on the effect of the repair action. For these reasons, several authors have recently proposed point process models which incorporate both renewal type behavior and time trend. One of these models is the Modulated Power Law Process (MPLP). The Modulated Power Law Process is a suitable model for describing the failure pattern of repairable systems when both renewal-type behavior and time trend are present. In this paper we propose Bayes estimation of the next failure time after the system has experienced some failures, that is, Mean Time Between Failure for the MPLP model. Numerical examples illustrate the estimation procedure.
목차
ABSTRACT
1. PRELIMINARIES
2. Mean Time Between Failure for Modulated Power Law Process
3. Bayes Estimation
4. Examples
Acknowledgement
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2009-410-014684816