• DocumentCode
    1867258
  • Title

    Fuzzy criticality assessment for process equipments maintenance

  • Author

    Qi, H.S. ; Liu, Quanwei ; Wood, A.S. ; Alzaabi, R.N.

  • Author_Institution
    School of Engineering, Design and Technology, University of Bradford, West Yorkshire, BD7 1DP, UK
  • fYear
    2012
  • fDate
    3-5 March 2012
  • Firstpage
    1094
  • Lastpage
    1097
  • Abstract
    Criticality-based maintenance (CBM) is a prioritized approach to the maintenance of (industrial) process equipment. CBM requires personnel with a thorough knowledge of the process/equipment under scrutiny. In this paper a criticality assessment system that is implemented by a local company (which represents the expertise and knowledge of the company experts) is reviewed and fuzzy logic theory is applied to improve the system´s capability and reliability. The quality of the fuzzy system is evaluated based on several case studies. The results show that the fuzzy logic based system does not only what the conventional system does, but also outperforms in terms of reliability and has a unique ranking capability.
  • Keywords
    Equipment criticality assessment; Fuzzy expert system; Group decision making; Maintenance management;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Automatic Control and Artificial Intelligence (ACAI 2012), International Conference on
  • Conference_Location
    Xiamen
  • Electronic_ISBN
    978-1-84919-537-9
  • Type

    conf

  • DOI
    10.1049/cp.2012.1168
  • Filename
    6492775