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Article

A Dynamic Reliability Analysis for the Conditional Number of Working Components within a Structure

by
Ioannis S. Triantafyllou
1,2
1
Department of Statistics and Insurance Science, University of Piraeus, 18534 Piraeus, Greece
2
Department of Management Studies, Graphic Era Deemed to be University, Dehradun 248002, Uttarakhand, India
Stats 2024, 7(3), 906-923; https://doi.org/10.3390/stats7030055
Submission received: 6 August 2024 / Revised: 24 August 2024 / Accepted: 27 August 2024 / Published: 28 August 2024

Abstract

In the present work, we study the number of working units of a consecutive-type structure at a specific time point under the condition that the system’s failure has not been observed yet. The main results of this paper offer some closed formulae for determining the distribution of the number of working components under the aforementioned condition. Several alternatives are considered for identifying the structure of the underlying system. The numerical investigation which is carried out takes into account different distributional assumptions for the lifetime of the components of the reliability system. Some concluding remarks and comments are provided for the performance of the resulting consecutive-type design.
Keywords: conditional distribution; consecutive-type systems with one or two failure criteria; Samaniego’s signature; exchangeable components conditional distribution; consecutive-type systems with one or two failure criteria; Samaniego’s signature; exchangeable components

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MDPI and ACS Style

Triantafyllou, I.S. A Dynamic Reliability Analysis for the Conditional Number of Working Components within a Structure. Stats 2024, 7, 906-923. https://doi.org/10.3390/stats7030055

AMA Style

Triantafyllou IS. A Dynamic Reliability Analysis for the Conditional Number of Working Components within a Structure. Stats. 2024; 7(3):906-923. https://doi.org/10.3390/stats7030055

Chicago/Turabian Style

Triantafyllou, Ioannis S. 2024. "A Dynamic Reliability Analysis for the Conditional Number of Working Components within a Structure" Stats 7, no. 3: 906-923. https://doi.org/10.3390/stats7030055

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