A methodology to determine maintenance criticality using Dempster–Shafer theory

被引:0
|
作者
Bahl A. [1 ,2 ,3 ]
Sachdeva A.
Kumar Garg R. [1 ,3 ]
机构
[1] Department of Industrial and Production Engineering, Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, 144001, Punjab
[2] Department of Mechanical Engineering, Lovely Professional University, Jalandhar, 144411, Punjab
[3] Department of Industrial and Production Engineering, Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, 144001, Punjab
关键词
Dempster–Shafer theory; Epistemic uncertainty; Evidence theory; FMEA; Maintenance policy selection;
D O I
10.1504/IJRS.2017.089705
中图分类号
学科分类号
摘要
This study deals with the development of a methodology for maintenance policy selection by assimilating the various factors as an alternative to traditional failure mode effect analysis. This methodology is based upon Dempster–Shafer theory (DST) of evidence which helps the plant managers/engineers to contrive an efficacious priority rating of various items of equipment/components under conditions of epistemic uncertainty considering the various parameters. A case study of a distillery plant is undertaken for selection of a suitable maintenance policy for the various items of equipment/components of the plant using the proposed methodology. Copyright © 2017 Inderscience Enterprises Ltd.
引用
收藏
页码:182 / 199
页数:17
相关论文
共 50 条
  • [41] Image edge detection using Dempster-Shafer evidence theory
    Zhao, Chunjiang
    Deng, Yong
    Journal of Computational Information Systems, 2010, 6 (13): : 4345 - 4352
  • [42] Dempster-Shafer theory, Bayesian theory and measure theory
    Peri, JSJ
    Signal Processing, Sensor Fusion, and Target Recognition XIV, 2005, 5809 : 378 - 389
  • [43] Analysis of the objects images on the sea using Dempster-Shafer theory
    Bobkowska, Katarzyna
    2016 17TH INTERNATIONAL RADAR SYMPOSIUM (IRS), 2016,
  • [44] Using the Dempster-Shafer Theory of Evidence to Resolve ABox Inconsistencies
    Nikolov, Andriy
    Uren, Victoria
    Motta, Enrico
    de Roeck, Anne
    UNCERTAINTY REASONING FOR THE SEMANTIC WEB I, 2008, 5327 : 143 - 160
  • [45] Fuzzy thresholding of color images using Dempster-Shafer theory
    Kurugollu, Fatih
    Bouridane, Ahmed
    Roula, Mohamed Ali
    2007 9TH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, VOLS 1-3, 2007, : 540 - +
  • [46] Conflict management in Dempster-Shafer theory using the degree of falsity
    Schubert, Johan
    INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2011, 52 (03) : 449 - 460
  • [47] FAST ALGORITHMS FOR DEMPSTER-SHAFER THEORY
    KENNES, R
    SMETS, P
    LECTURE NOTES IN COMPUTER SCIENCE, 1991, 521 : 14 - 23
  • [48] Analyzing a Paradox in Dempster-Shafer Theory
    Xiong, Wei
    FIFTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 5, PROCEEDINGS, 2008, : 154 - 158
  • [49] Stock portfolio selection using Dempster-Shafer evidence theory
    Thakur, Gour Sundar Mitra
    Bhattacharyya, Rupak
    Sarkar , Seema
    JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, 2018, 30 (02) : 223 - 235
  • [50] A Reliable Skin Detection Using Dempster-Shafer Theory of Evidence
    Shoyaib, Mohammad
    Abdullah-Al-Wadud, Mohammad
    Chae, Oksam
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2009, PT II, 2009, 5593 : 764 - +