Methodology for the Assessment of Imprecise Multi-State System Availability

被引:1
|
作者
Akrouche, Joanna [1 ]
Sallak, Mohamed [1 ]
Chatelet, Eric [2 ]
Abdallah, Fahed [3 ,4 ]
Chehade, Hiba Hajj [4 ]
机构
[1] Univ Technol Compiegne, CNRS, Lab Heudiasyc Heurist & Diag Complex Syst, CS 60 319, F-60203 Compiegne, France
[2] Univ Technol Troyes, UR InSyTE, 12 Rue Marie Curie,CS 42060 10010, F-10300 Troyes, France
[3] Luxembourg Inst Socioecon Res LISER, 11 Porte Sci, L-4366 Esch Sur Alzette, Luxembourg
[4] Lebanese Univ, Fac Engn, Beirut 146573, Lebanon
关键词
multi-state systems; availability; interval analysis; contraction methods; CARLO-SIMULATION APPROACH; RELIABILITY-ANALYSIS; PERFORMANCE; UNCERTAINTY;
D O I
10.3390/math10010150
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Most existing studies of a system's availability in the presence of epistemic uncertainties assume that the system is binary. In this paper, a new methodology for the estimation of the availability of multi-state systems is developed, taking into consideration epistemic uncertainties. This paper formulates a combined approach, based on continuous Markov chains and interval contraction methods, to address the problem of computing the availability of multi-state systems with imprecise failure and repair rates. The interval constraint propagation method, which we refer to as the forward-backward propagation (FBP) contraction method, allows us to contract the probability intervals, keeping all the values that may be consistent with the set of constraints. This methodology is guaranteed, and several numerical examples of systems with complex architectures are studied.
引用
收藏
页数:25
相关论文
共 50 条
  • [1] Availability assessment of multi-state systems with operational dependence
    Zio, E
    Marella, M
    Podofillini, L
    [J]. PROBABILISTIC SAFETY ASSESSMENT AND MANAGEMENT, VOL 1- 6, 2004, : 914 - 919
  • [2] Reliability Assessment of Multi-State Systems By Multi-Source of Imprecise Reliability Data
    Xiahou, Tangfan
    Liu, Yu
    [J]. 2019 ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM (RAMS 2019) - R & M IN THE SECOND MACHINE AGE - THE CHALLENGE OF CYBER PHYSICAL SYSTEMS, 2019,
  • [3] Structure function in analysis of multi-state system availability
    Kvassay, M.
    Levashenko, V.
    Rabcan, J.
    Rusnak, P.
    Zaitseva, E.
    [J]. SAFETY AND RELIABILITY - SAFE SOCIETIES IN A CHANGING WORLD, 2018, : 897 - 905
  • [4] Efficient availability assessment of reconfigurable multi-state systems with interdependencies
    George-Williams, Hindolo
    Patelli, Edoardo
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2017, 165 : 431 - 444
  • [5] Earthquake Forecasting Based on Multi-State System Methodology
    Karagrigoriou, A.
    Makrides, A.
    Tsapanos, T.
    Vougiouka, G.
    [J]. METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY, 2016, 18 (02) : 547 - 561
  • [6] Earthquake Forecasting Based on Multi-State System Methodology
    A. Karagrigoriou
    A. Makrides
    T. Tsapanos
    G. Vougiouka
    [J]. Methodology and Computing in Applied Probability, 2016, 18 : 547 - 561
  • [7] Availability of UAV Fleet Evaluation Based on Multi-State System
    Zaitseva, Elena
    Levashenko, Vitaly
    Mysko, Vladimir
    Czapp, Stanislaw
    Zhaxybayev, Darkhan
    [J]. IEEE ACCESS, 2024, 12 (15290-15307) : 15290 - 15307
  • [8] On Importance Assessment of Aging Multi-state System
    Frenkel, Ilia
    Khvatskin, Lev
    Lisnianski, Anatoly
    [J]. ICNPAA 2016 WORLD CONGRESS: 11TH INTERNATIONAL CONFERENCE ON MATHEMATICAL PROBLEMS IN ENGINEERING, AEROSPACE AND SCIENCES, 2017, 1798
  • [9] Fuzzy availability assessment for a discrete time repairable multi-state series-parallel system
    Hu, Linmin
    Su, Peng
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2016, 30 (05) : 2663 - 2675
  • [10] Efficient availability assessment of reconfigurable complex multi-state systems with interdependencies
    George-Williams, H.
    Patelli, E.
    [J]. RISK, RELIABILITY AND SAFETY: INNOVATING THEORY AND PRACTICE, 2017, : 2501 - 2508