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Repairable System Reliability Prediction
Technical Paper
2004-01-0457
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
For a vehicle or repairable system, incidents (conditions) are neither necessarily independent nor identically distributed. Therefore, traditional statistical distributions like Weibull, Normal, etc, are no longer valid to estimate reliability. The Non-homogeneous Poisson process (NHPP) model can be used to predict reliability and warranty of the field product. It can also measure the reliability improvement during the development cycle. The NHPP model is discussed in this paper.
In applying a NHHP model to reliability data on a repairable system, one may have few or no failures. This paper presents the I/100 and reliability derivations when the parameter β in the ROCOF function is assumed to have a known value.
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Citation
Lu, M. and Rudy, R., "Repairable System Reliability Prediction," SAE Technical Paper 2004-01-0457, 2004, https://doi.org/10.4271/2004-01-0457.Also In
References
- Crow, L. H. “Reliability analysis for complex, repairable systems” Reliability and Biometry, Statistical Analysis of Lifelength SIAM Philadelphia 1974
- Ascher, H. Feingold, H. Repairable System Reliability, Modeling, Inference, Misconceptions and Their Causes Marcel Dekker, Inc. New York, New York 1984
- Crow, L. H. “Confidence Interval Procedures for the Weibull Process with Applications to Reliability Growth” Technometrics 24 1 67 72 1982
- Lu, M. W. Rudy, R. J. “Vehicle or System Reliability Assessment Procedure” Proceedings of the IASTED International Conference on the Reliability Engineering and its Applications 37 42 Honolulu August 1994