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
来源：
International Journal of Reliability and Safety | 2017年 / 11卷 / 3-4期
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
  • [1] A Novel Combination Methodology for Dempster-Shafer Theory
    Turhan, Hasan Ihsan
    Demirekler, Mubeccel
    2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2017,
  • [2] A Novel Methodology for Target Classification Based on Dempster-Shafer Theory
    Turhan, Hasan Ihsan
    Demirekler, Mubeccel
    Gunay, Melih
    BELIEF FUNCTIONS: THEORY AND APPLICATIONS (BELIEF 2014), 2014, 8764 : 393 - 402
  • [3] A novel methodology for target classification based on Dempster-Shafer theory
    Turhan, Hasan Ihsan
    Demirekler, Mubeccel
    Gunay, Melih
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, 8764 : 393 - 402
  • [4] Precise eye location using Dempster Shafer theory
    Gao, Yong
    Wang, Yangsheng
    INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING, 2007, 5 (01) : 129 - 143
  • [5] Using Dempster–Shafer theory to model earthquake events
    Marzieh Mokarram
    Hamid Reza Pourghasemi
    John P. Tiefenbacher
    Natural Hazards, 2020, 103 : 1943 - 1959
  • [6] A generalization of entropy using Dempster-Shafer theory
    Herencia, JA
    Lamata, MT
    INTERNATIONAL JOURNAL OF GENERAL SYSTEMS, 2000, 29 (05) : 719 - 735
  • [7] Unsupervised author disambiguation using Dempster–Shafer theory
    Hao Wu
    Bo Li
    Yijian Pei
    Jun He
    Scientometrics, 2014, 101 : 1955 - 1972
  • [8] Geospatial Modeling Using Dempster-Shafer Theory
    Elmore, Paul A.
    Petry, Frederick E.
    Yager, Ronald R.
    IEEE TRANSACTIONS ON CYBERNETICS, 2017, 47 (06) : 1551 - 1561
  • [9] Sensor fusion using Dempster-Shafer theory
    Wu, HD
    Siegel, M
    Stiefelhagen, R
    Yang, J
    IMTC 2002: PROCEEDINGS OF THE 19TH IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE, VOLS 1 & 2, 2002, : 7 - 12
  • [10] Object Classification Using Dempster-Shafer Theory
    Harasymowicz-Boggio, B.
    Siemiatkowska, B.
    MECHATRONICS 2013: RECENT TECHNOLOGICAL AND SCIENTIFIC ADVANCES, 2014, : 559 - 565
12345