Reliability assessment of discrete-time k/n(G) retrial system based on different failure types and the δ-shock model

被引:4
作者
Hu, Zebin [1 ]
Hu, Linmin [1 ]
Wu, Shaomin [2 ]
Yu, Xiaoyun [1 ]
机构
[1] Yanshan Univ, Sch Sci, Qinhuangdao 066004, Hebei, Peoples R China
[2] Univ Kent, Kent Business Sch, Canterbury CT2 7FS, Kent, England
关键词
Discrete time; PH distribution; delta-shock; Different failure types; Retrial; OF-N SYSTEM; AVAILABILITY; COMPONENTS;
D O I
10.1016/j.ress.2024.110371
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The k/n(G) system is a typical reliability system in engineering practice. However, research on this system under discrete-time and retrial conditions is still limited. This paper establishes a k/n(G) retrial system model under a discrete-time condition based on different failure types and the delta-shock model, whose objective is to investigate its various reliability measures and the relationship between measures and parameters. Two methodologies are utilized in this paper to evaluate the system's various measures: the analytical method for the discrete-time Markov process and the Monte Carlo simulation method. The two methodologies are compared, and optimization is performed on certain measures concerning system parameters. A discrete PH distribution representation method for component lifetime under the delta-shock is presented, the relationship between various reliability measures of the system and various parameters is determined, and a novel approach for system reliability research based on the discrete PH distribution and the delta-shock is provided in this paper.
引用
收藏
页数:21
相关论文
共 52 条
[1]   Reliability analysis for k-out-of-n(G) systems subject to dependent competing failure processes [J].
Bian, Lina ;
Wang, Guanjun ;
Liu, Peng .
COMPUTERS & INDUSTRIAL ENGINEERING, 2023, 177
[2]   MULTI-COMPONENT SYSTEMS AND STRUCTURES AND THEIR RELIABILITY [J].
BIRNBAUM, ZW ;
ESARY, JD ;
SAUNDERS, SC .
TECHNOMETRICS, 1961, 3 (01) :55-&
[3]   DISTRIBUTIONS OF RANDOM VARIABLES INVOLVED IN DISCRETE CENSORED δ-SHOCK MODELS [J].
Chadjiconstantinidis, Stathis ;
Eryilmaz, Serkan .
ADVANCES IN APPLIED PROBABILITY, 2023, 55 (04) :1144-1170
[4]   Reliability of a mixed δ-shock model with a random change point in shock magnitude distribution and an optimal replacement policy [J].
Chadjiconstantinidis, Stathis ;
Eryilmaz, Serkan .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2023, 232
[5]  
Chakravarthy S.R., 2001, Int. J. Stoch. Anal, V14(4), P361, DOI 10.1155/S1048953301000326
[6]   Extreme shock models: An alternative perspective [J].
Cirillo, Pasquale ;
Huesler, Juerg .
STATISTICS & PROBABILITY LETTERS, 2011, 81 (01) :25-30
[7]   On the number of failed components in a k-out-of-n system upon system failure when the lifetimes are discretely distributed [J].
Davies, Katherine ;
Dembinska, Anna .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2019, 188 :47-61
[8]   On the availability of a k-out-of-N system given limited spares and repair capacity under a condition based maintenance strategy [J].
de Smidt-Destombes, KS ;
van der Heijden, MC ;
van Harten, A .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2004, 83 (03) :287-300
[9]   On Reliability Analysis of k-Out-of-n Systems Consisting of Heterogeneous Components With Discrete Lifetimes [J].
Dembinska, Anna .
IEEE TRANSACTIONS ON RELIABILITY, 2018, 67 (03) :1071-1083
[10]   A complex discrete warm standby system with loss of units [J].
Eloy Ruiz-Castro, Juan ;
Fernandez-Villodre, Gemma .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2012, 218 (02) :456-469