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Life distribution properties of devices subject to a pure jump damage process

Published online by Cambridge University Press:  14 July 2016

Mohamed Abdel-Hameed*
Affiliation:
University of North Carolina, Charlotte
*
Present address: Department of Mathematics, Kuwait University, P.O. Box 5969, Kuwait.

Abstract

A device is subject to damage. The damage occurs randomly in time according to a pure jump process. The device has a threshold and it fails once the damage exceeds the threshold. We show that life distribution properties of the threshold right tail probability are inherited as corresponding properties of the survival probability, under suitable conditions on the parameters of the damage process. Moreover we discuss an optimal replacement problem for such devices.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1984 

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Footnotes

Research supported by the United States Air Force Office of Scientific Research under Grant Afosr 80–0245C.

References

[1] Abdel-Hameed, M. S. (1984) Life distribution properties of devices subject to a Lévy wear process. Math. Operat. Res. 9(3).Google Scholar
[2] Abdel-Hameed, M. S. and Proschan, F. (1975) Shock models with underlying birth process. J. Appl. Prob. 12, 1828.CrossRefGoogle Scholar
[3] Barlow, R. E. and Proschan, F. (1975) Statistical Theory of Reliability and Life Testing: Probability Models. Holt, Rinehart and Winston, New York.Google Scholar
[4] Block, H. W. and Savits, T. H. (1980) Laplace transforms of classes of life distributions. Ann. Prob. 8, 465474.CrossRefGoogle Scholar
[5] Brown, M. and Rao, C. N. (1983) On the first-passage time distribution for a class of Markov chains. Ann. Prob. 11, 10001008.CrossRefGoogle Scholar
[6] Çinlar, E. and Jacod, J. (1981) Representation of semimartingale Markov processes in terms of Wiener processes and Poisson random measures. In Seminar on Stochastic Processes 1981, ed. Çinlar, E., Chung, K. L. and Getoor, R. K., Birkhauser, Boston, 159242.CrossRefGoogle Scholar
[7] Çinlar, E., Jacod, J., Potter, P. and Sharpe, M. J. (1980) Semimartingales and Markov processes. Z. Wahrscheinlichkeitsth. 54, 161219.CrossRefGoogle Scholar
[8] Esary, J., Marshall, A. W. and Proschan, F. (1973) Shock models and wear processes. Ann. Prob. 1, 627649.CrossRefGoogle Scholar
[9] Gottlieb, G. (1980) Failure distributions of shock models. J. Appl. Prob. 17, 745752.CrossRefGoogle Scholar
[10] Karlin, S. (1968) Total Positivity, Vol. 1. Stanford University Press.Google Scholar
[11] Klefsjö, B. (1981) Survival under the pure birth shock model. J. Appl. Prob. 18, 554560.CrossRefGoogle Scholar