Reliability modeling for repairable circular consecutive-k-out-of-n: F systems with retrial feature. (December 2021)

• Record Type: Journal Article
• Authors: Li, Mingjia; Hu, Linmin; Peng, Rui; Bai, Zhuoxin
• Is Part Of: Reliability engineering & system safety. Volume 216(2021)
• Publication Date: 2021-12
• Subjects: Consecutive-k-out-of-n: F system -- Retrial -- Generalized transition probability -- Supplementary variable method -- Sensitivity analysis; Reliability (Engineering) -- Periodicals; System safety -- Periodicals; Industrial safety -- Periodicals; Fiabilité -- Périodiques; Sécurité des systèmes -- Périodiques; Sécurité du travail -- Périodiques; 620.00452
• DOI: 10.1016/j.ress.2021.107957
• Languages: English
• ISSNs: 0951-8320

Abstract

Abstract: In this paper, we consider a repairable circular consecutive- k -out-of- n : F retrial system, which can be used to simulate the intelligent closed recurring water cooling automation system in industrial production. We assume that the working time and retrial time of each component obey exponential distributions, and the repair time obeys a general distribution. Based on the generalized transition probability and the key component priority repair rule of the retrial system, the availability and reliability indices of the general repairable circular consecutive- k -out-of- n : F retrial system are derived by using the methods of supplementary variable and Laplace transform. Furthermore, we calculate the explicit expressions of the above indices when n and k are fixed at definite values in the system. The repair time is assumed to follow a Weibull distribution in examples demonstration, and the influence of various parameters on system reliability, steady-state availability and other indices are obtained. The sensitivity and relative sensitivity analysis of the steady-state availability, steady-state failure frequency and mean time to first failure (MTTFF) of the system are also performed. Highlights: A new consecutive- k -out-of- n : F system with retrial feature is developed. The reliability indices are derived by the Laplace transforms method. The sensitivity analyses of system reliability indices are performed. A demonstration is provided for the proposed model through an intelligent system.