Importance Measure of Multi-State Element Variation Based on F-VMEA

被引:0
|
作者
Luo, Min [1 ]
Zeng, Shengkui [1 ]
Guo, Jianbin [1 ]
Tang, Huan [1 ]
机构
[1] Beihang Univ, Sch Reliabil & Syst Engn, 37 Xueyuan Rd, Beijing 100191, Peoples R China
关键词
F-VMEA; variations; UGF; Photovoltaic system; PHOTOVOLTAIC SYSTEMS; RELIABILITY;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Classical multi-state system (MSS) reliability theory mainly emphasizes the reliability modeling of the system, while the analysis of the elements states and their variations are very little in use. Additionally, few literatures estimate importance of detrimental variation instead of only importance of multi-state element in MSS. Therefore, this paper proposes an analysis method which not only concentrates on analyzing multi-state element but also its variations. In this article, firstly, a comprehensive method which is called failure-variation mode and effect analysis (F-VMEA) is proposed aiming at finding and assessing unwanted variations, degradation and failure of elements. Secondly, the Photovoltaic (PV) system is studied according to the proposed F-VMEA. Finally, according to the results of F-VMEA, a relative good reliability model of PV system is established by universal generating function (UGF) technique and the importance measure of any element can be estimated.
引用
收藏
页数:7
相关论文
共 50 条
  • [21] A customer's utility measure based on the reliability of multi-state systems
    D'Amico G.
    Di Biase G.
    Manca R.
    Decisions in Economics and Finance, 2011, 34 (1) : 1 - 20
  • [22] Importance analysis of multi-state system based on structural function methods
    Zaitseva, E.
    Levashenko, V.
    ADVANCES IN SAFETY, RELIABILITY AND RISK MANAGEMENT, 2012, : 2152 - 2158
  • [23] On Importance Assessment of Aging Multi-state System
    Frenkel, Ilia
    Khvatskin, Lev
    Lisnianski, Anatoly
    ICNPAA 2016 WORLD CONGRESS: 11TH INTERNATIONAL CONFERENCE ON MATHEMATICAL PROBLEMS IN ENGINEERING, AEROSPACE AND SCIENCES, 2017, 1798
  • [24] On the Use of the Importance Measure for Multi-State Repairable k-out-of-n: G Systems
    Dui, Hongyan
    Si, Shubin
    Cai, Zhiqiang
    Sun, Shudong
    Zhang, Yingfeng
    COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2014, 43 (13) : 2766 - 2781
  • [26] New insights on multi-state component criticality and importance
    Ramirez-Marquez, Jose E.
    Rocco, Claudio M.
    Gebre, Bethel A.
    Coit, David W.
    Tortorella, Michael
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2006, 91 (08) : 894 - 904
  • [27] Multi-State System Importance Analysis Based on Direct Partial Logic Derivative
    Zaitseva, Elena
    Levashenko, Vitaly
    Kostolny, Jozef
    2012 INTERNATIONAL CONFERENCE ON QUALITY, RELIABILITY, RISK, MAINTENANCE, AND SAFETY ENGINEERING (ICQR2MSE), 2012, : 1514 - 1519
  • [28] Measuring the reliability importance of components in multi-state systems
    Zio, E
    Podofillini, L
    SAFETY AND RELIABILITY, VOLS 1 AND 2, 2003, : 1753 - 1760
  • [29] Generalised importance measures for multi-state elements based on performance level restrictions
    Levitin, G
    Podofillini, L
    Zio, E
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2003, 82 (03) : 287 - 298
  • [30] Importance analysis of multi-state systems based on tools of logical differential calculus
    Kvassay, Miroslav
    Zaitseva, Elena
    Levashenko, Vitaly
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2017, 165 : 302 - 316