Multi-state linear three-dimensional consecutive <i>k</i> -type systems

Consecutive $k$ -type systems have become important in both reliability theory and applications; in spite of a large literature existing on them, three-dimensional consecutive $k$ -type systems have not yet been studied for multi-state case. In this paper, we introduce several different types of multi-state linear three-dimensional consecutive $k$ -type systems for the first time, with due consideration to possible overlapping of failure blocks. The finite Markov chain imbedding approach is then used for the derivation of their reliability functions with state spaces and transition matrices provided in a novel way, and the involved computational process is illustrated through several numerical examples. Finally, some possible applications of the work and potential extensions are pointed out.

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Publication Details

Journal
Probability in the Engineering and Informational Sciences
Published
2026-03-02
DOI
https://doi.org/10.1017/s0269964826100229
Primary Topic
Reliability and Maintenance Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Multi-state linear three-dimensional consecutive k -type systems

He Yi, Narayanaswamy Balakrishnan, Xiang Li
Probability in the Engineering and Informational Sciences
Reliability and Maintenance Optimization
article

Multi-state linear three-dimensional consecutive k -type systems

He Yi, Narayanaswamy Balakrishnan, Xiang Li
article en

Abstract

Consecutive $k$ -type systems have become important in both reliability theory and applications; in spite of a large literature existing on them, three-dimensional consecutive $k$ -type systems have not yet been studied for multi-state case. In this paper, we introduce several different types of multi-state linear three-dimensional consecutive $k$ -type systems for the first time, with due consideration to possible overlapping of failure blocks. The finite Markov chain imbedding approach is then used for the derivation of their reliability functions with state spaces and transition matrices provided in a novel way, and the involved computational process is illustrated through several numerical examples. Finally, some possible applications of the work and potential extensions are pointed out.

Probability in the Engineering and Informational Sciences
Beijing Institute of Technology (CN), Atilim University (TR), Beijing University of Chemical Technology (CN), McMaster University (CA)
National Natural Science Foundation of China, China Scholarship Council, Natural Sciences and Engineering Research Council of Canada, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 50%
Reliability and Maintenance Optimization
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Multi-state linear three-dimensional consecutive <i>k</i> -type systems — He Yi, Narayanaswamy Balakrishnan, et al. · Probability in the Engineering and Informational Sciences (2026) | TGRS Research Map | TGRS