State distributions of multi-state consecutive-k systems

Xian Zhao*, Yu Xu, Fangyu Liu

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    25 Citations (Scopus)

    Abstract

    As a flexible, accurate tool for representing practical industrial and military systems, multi-state systems have been paid great attention to in both academic and engineering fields. Multi-state consecutive-k systems are extensions of binary consecutive-k systems. In this paper, by using the finite Markov chain imbedding approach, we present a unified formula with the product of matrices for evaluating state distributions of two kinds of multi-state consecutive-k systems. Moreover, the analytic expressions are given for the expectation, the probability mass function, and the distribution of the waiting time for the appearance of a state of multi-state consecutive-k systems. The formulas obtained in this paper will be useful for start-up demonstration tests, quality control, and so on. Finally, numeral examples are given, which show the flexibility and effectiveness of our model.

    Original languageEnglish
    Article number6198320
    Pages (from-to)274-281
    Number of pages8
    JournalIEEE Transactions on Reliability
    Volume61
    Issue number2
    DOIs
    Publication statusPublished - 2012

    Keywords

    • Consecutive-k
    • finite Markov chain imbedding approach
    • multi-state systems
    • system state distribution

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