Hostname: page-component-cd9895bd7-dzt6s Total loading time: 0 Render date: 2024-12-27T07:54:50.451Z Has data issue: false hasContentIssue false

The reliability of a large series system under Markov structure

Published online by Cambridge University Press:  01 July 2016

M. T. Chao*
Affiliation:
Academia Sinica
James C. Fu*
Affiliation:
University of Manitoba
*
Postal address: Institute of Statistical Science, Academia Sinica, Taipei 11529, Taiwan, ROC.
∗∗Postal address: Department of Statistics, The University of Manitoba, Winnipeg, Manitoba, Canada, R3T 2N2.

Abstract

Let Y1, · ··, Yn be a finite Markov chain and let f be a binary value function defined over the state space of the Y's. We study the reliability of general series system having the structure function φ (Y) = min {f(Y1), · ··, f(Yn)} and show that, under certain regularity conditions, the reliability of the system tends to a constant c (1 ≥ c ≥ 0), where c often has the form c = exp {–λ}.

Type
Research Article
Copyright
Copyright © Applied Probability Trust 1991 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

Research partially supported by the National Science Council of the Republic of China.

Research partially supported under the National Science Council Visiting Professorship Grant of the Republic of China.

References

Barlow, R. E. and Proschan, F. (1981) Statistical Theory of Reliability and Life Testing , 2nd edn. Holt Rinehart and Winston, New York.Google Scholar
Bollinger, R. C. (1982) Direct computation for consecutive k-out-of-n: F. IEEE Trans. Reliability 31, 444446.CrossRefGoogle Scholar
Chao, M. T. (1973) Statistical properties of Gilbert's burst noise model. Bell System Tech. J. 52, 13031324.CrossRefGoogle Scholar
Chao, M. T. and Fu, J. C. (1989) On the reliabilities of large repairable systems. Ann. Inst. Statist. Math. 41, 809818.CrossRefGoogle Scholar
Chao, M. T. and Lin, G. D. (1984) Economic design of large consecutive-k-out-of-n systems. IEEE Trans. Reliability 33, 411413.CrossRefGoogle Scholar
Dodge, H. F. (1943) A sampling inspection plan for continuous production. Ann. Math. Statist. 14, 264279.CrossRefGoogle Scholar
Fu, J. C. (1985) Reliability of a large consecutive-k-out-of-n system. IEEE Trans. Reliability 34, 127130.CrossRefGoogle Scholar
Gilbert, G. N. (1960) Capacity of a burst noise channel. Bell System Tech. J. 39, 12531266.CrossRefGoogle Scholar
Papastavridis, S. (1987) A limit theorem for the reliability of a consecutive-k-out-of-n: F system. Adv. Appl. Prob. 19, 746748.CrossRefGoogle Scholar
Roberts, S. W. (1965) States of Markov chains for evaluating continuous sampling plans, Trans. 17th Annual All Day Conference on Quality Control , Metropolitan Section ASC and Rutgers University, New Brunswick, NJ, 106111.Google Scholar
Serfling, R. J. (1975) A general Poisson theorem. Ann. Prob. 3, 726731.CrossRefGoogle Scholar
Yang, G. (1983) A renewal-process approach to continuous sampling plans. Technometrics 25, 5967.CrossRefGoogle Scholar