Reliability evaluation of uncertain multi-state systems based on weighted universal generating function

被引:1
|
作者
Dong W. [1 ]
Liu S. [1 ]
Fang Z. [1 ]
Cao Y. [1 ]
机构
[1] College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Jiangsu
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Multi-state system; Reliability evaluation; Steam turbine power generation system; Universal generating function; Weight determination;
D O I
10.23940/ijpe.19.01.p17.167178
中图分类号
学科分类号
摘要
Universal generating function (UGF) is a basic and important technology in the reliability evaluation of multi-state systems (MSSs). It has been widely noticed by reliability scholars and engineers since its introduction. In the process of reliability evaluation of MSSs with UGF, universal generating operators play a great role in synthesizing the system output performance rate. For many uncertain MSSs in actual engineering, when the connection structure between components is unknown and/or the performance relationship is unclear, the definition of the weighted universal generating function is proposed. By designing reliability evaluation indices and constructing a weighted universal generating function of MSSs, reliability parameters of MSSs can be evaluated. A real case of steam turbine power generation system in a repairable naval equipment system is conducted to illustrate the applications. © 2019 Totem Publisher, Inc. All rights reserved.
引用
收藏
页码:167 / 178
页数:11
相关论文
共 50 条
  • [41] Reliability evaluation of multi-state series systems with performance sharing
    Wang, Guanjun
    Duan, Fengjun
    Zhou, Yifan
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2018, 173 : 58 - 63
  • [42] Belief Universal Generating Function Analysis of Multi-State Systems Under Epistemic Uncertainty and Common Cause Failures
    Mi, Jinhua
    Li, Yan-Feng
    Liu, Yu
    Yang, Yuan-Jian
    Huang, Hong-Zhong
    IEEE TRANSACTIONS ON RELIABILITY, 2015, 64 (04) : 1300 - 1309
  • [43] Service reliability evaluation of large scale multi-state weighted k-outof- n systems
    Lin, Chu-Ti
    Wang, Pei-Shan
    Li, Yan Fu
    Advances in Information Sciences and Service Sciences, 2012, 4 (17): : 56 - 66
  • [44] Reliability evaluation of multi-state systems under cost consideration
    Niu, Yi-Feng
    Xu, Xiu-Zhen
    APPLIED MATHEMATICAL MODELLING, 2012, 36 (09) : 4261 - 4270
  • [45] Holistic reliability analysis of weighted voting systems from a multi-state perspective
    Ramirez-Marquez, Jose Emmanuel
    IIE TRANSACTIONS, 2008, 40 (02) : 122 - 132
  • [46] Reliability Evaluation of Multi-State System Based on Incompletely Specified Data and Structure Function
    Zaitseva, Elena
    Vitaly, Levashenko
    Rabcan, Jan
    Kvassay, Miroslav
    Rusnak, Patrik
    PROCEEDINGS OF THE 2019 10TH IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT DATA ACQUISITION AND ADVANCED COMPUTING SYSTEMS - TECHNOLOGY AND APPLICATIONS (IDAACS), VOL. 2, 2019, : 741 - 746
  • [47] Weighted-graph models for reliability assessment: Extension to multi-state systems
    Aubry, Jean-Francois
    Brinzei, Nicolae
    RISK, RELIABILITY AND SAFETY: INNOVATING THEORY AND PRACTICE, 2017, : 1451 - 1458
  • [48] System of Systems Reliability for Multi-State Systems
    Cook, Jason L.
    ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM, 2009 PROCEEDINGS, 2009, : 13 - 18
  • [49] Reliability evaluation for multi-state manufacturing systems with quality-reliability dependency
    Chen, Zhaoxiang
    Chen, Zhen
    Zhou, Di
    Xia, Tangbin
    Pan, Ershun
    COMPUTERS & INDUSTRIAL ENGINEERING, 2021, 154
  • [50] Reliability evaluation of repairable weighted system using interval valued universal generating function
    Bisht, Soni
    Singh, S. B.
    Tamta, Renu
    INTERNATIONAL JOURNAL OF QUALITY & RELIABILITY MANAGEMENT, 2020, 37 (6-7) : 957 - 981