Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14365/5579
Title: Analyzing component failures in series-parallel systems with dependent components
Authors: Torrado, N.
Ozkut, M.
Keywords: Copulas
Optimal design
Reliability
Series-parallel system
Component failures
Copula
Engineering design
Joint probability distributions
Mean time to failure
Network design
Optimal design
Realistic scenario
Reliability metrics
Series-parallel system
Publisher: Elsevier Ltd
Abstract: This paper investigates a series-parallel system comprising N independent subsystems with interchangeable dependent components, a prevalent reliability structure in engineering and network design. The primary aim of this research is to derive the joint probability distribution of the number of failed components within these configurations, considering component dependence and varying distributions across subsystems. This approach reflects a more realistic scenario than previously explored in the literature. Initially, the analysis is conducted for systems with two subsystems and subsequently extended to encompass configurations with N subsystems. The study also evaluates key reliability metrics including the average number of failed components and the mean time to failure (MTTF) of the entire system, theoretically proving that the system's MTTF increases with the number of components under certain sufficient conditions. In addition to probabilistic analysis, an optimization problem is addressed to determine the optimal allocation of components within each subsystem. The objective is to minimize the average cost associated with corrective maintenance, thereby enhancing the cost-effectiveness of system operation. © 2024 The Authors
URI: https://doi.org/10.1016/j.cie.2024.110604
https://hdl.handle.net/20.500.14365/5579
ISSN: 0360-8352
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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