On the prediction of future failures for a repairable equipment subject to overhauls

Communications in Statistics - Theory and Methods

Volumn 30, Issue 4, 2001, Pages 691-706

  Pulcini, Gianpaolo ^a  

^a ISTITUTO MOTORI CNR   (Italy)

Author keywords

Bayes prediction; Major overhaul; Minimal repair; Repairable equipment

Indexed keywords

EID: 0034906297     PISSN: 03610926     EISSN: None     Source Type: Journal    
DOI: 10.1081/STA-100002145     Document Type: Article

References (11)

1. Shin, I.; Lim, T.J.; Lie, C.H. Estimating parameters of intensity function and maintenance effect for repairable unit. Reliability Engineering and System Safety 1996, 54(1), 1-10.
2. Malik, M.A.K. Reliable preventive maintenance scheduling. AIIE Transactions 1979, 11 (3), 221-228.
3. Ascher, H.E.; Feingold, H. Repairable Systems Reliability: Modeling, Inference, Misconceptions and their Causes, Marcel Dekker, 1984.
4. Crow, L.H. Reliability analysis for complex repairable systems. Reliability and Biometry; F. Proschan and R.J. Serfling, Eds.; SIAM 1974, 379-410.
5. Cox, D.R.; Lewis, P.A.W. The Statistical Analysis of Series of Events, Chapman and Hall, 1966.
6. Jack, N. Analysing event data from a repairable machine subject to imperfect preventive maintenance. Quality and Reliability Engineering International 1997, 13 (4), 183-186.
7. Pulcini, G. On the overhaul effect for repairable mechanical units: a Bayes approach. Reliability Engineering and System Safety 2000, 70 (1), 85-94.
8. Guida, M.; Calabria, R.; Pulcini, G. Bayes inference for a non-homogeneous Poisson process with power intensity law. IEEE Transactions on Reliability 1989, 38 (5), 603-609.
9. Calabria, R.; Guida, M.; Pulcini, G. Bayes estimation of prediction intervals for a power law process, Communications in Statistics - Theory and Methods 1990, 19 (8), 3023-3035.
10. Bar-Lev, S.K.; Lavi, I.; Reiser B. Bayesian inference for the power law process, Annals of the Institute of Statistical Mathematics 1992, 44 (4), 623-639.
11. Beiser, J.A.; Rigdon, S.E. Bayes prediction for the number of failures of a repairable system, IEEE Transactions on Reliability 1997, 46 (2), 291-295.