Reliability of multi-state systems with various dependency structures between components

In recent years, the universal generating function (UGF) technique has gained widespread application in the analysis of multi-state system (MSS) reliability. This approach enables the derivation of the complete performance distribution of an MSS by employing algebraic procedures on the performance distributions of its individual components. In this paper, the existing UGF approach for systems with independent components is further extended for systems with components having different preceding components’ memory (PCM). Based on the derived UGF, we obtain the reliability of the system. Moreover, we provide algorithms corresponding to the developed methodologies, and demonstrate the same through several numerical examples.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability
Published
2026-04-14
DOI
https://doi.org/10.1177/1748006x261437604
Primary Topic
Reliability and Maintenance Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Reliability of multi-state systems with various dependency structures between components

Nil Kamal Hazra, Maxim Finkelstein, Darshana Yadav
Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability
Reliability and Maintenance Optimization
article

Reliability of multi-state systems with various dependency structures between components

Nil Kamal Hazra, Maxim Finkelstein, Darshana Yadav
article en

Abstract

In recent years, the universal generating function (UGF) technique has gained widespread application in the analysis of multi-state system (MSS) reliability. This approach enables the derivation of the complete performance distribution of an MSS by employing algebraic procedures on the performance distributions of its individual components. In this paper, the existing UGF approach for systems with independent components is further extended for systems with components having different preceding components’ memory (PCM). Based on the derived UGF, we obtain the reliability of the system. Moreover, we provide algorithms corresponding to the developed methodologies, and demonstrate the same through several numerical examples.

Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability
Indian Institute of Technology Jodhpur (IN), University of Strathclyde (GB), University of the Free State (ZA)
Indian Institute of Technology Jodhpur
Openalex Percentile: Top 16%
Reliability and Maintenance Optimization
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