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Fuzzy criticality assessment for process equipments maintenance

Qi, Hong Sheng
; 
Liu, Q.
; 
Wood, Alastair S.
; 
Alzaabi, R.N.
Publication Date
2012
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Keywords
Criticality-based maintenance (CBM); Criticality assessment; Mechanical engineering applications of IT; Production equipment; Maintenance and reliability; Production engineering computing; Expert systems and other AI software and techniques; Industrial applications of IT; Civil and mechanical engineering computing
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Peer-Reviewed
yes
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Accepted for publication
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Engineering and Digital Technology Publications
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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.
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http://hdl.handle.net/10454/8141
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Citation
Qi HS, Liu Q, Wood AS and Alzaabi RN (2012) Fuzzy criticality assessment for process equipments maintenance. International Conference on Automatic Control and Artificial Intelligence (ACAI 2012), Xiamen, China, March 24th-56th, 2012. Published in: International Conference on Automatic Control and Artificial Intelligence (ACAI 2012) Proceedings. IET. pp.1094–1097. ISBN: 978-1-84919-537-9.
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https://doi.org/10.1049/cp.2012.1168
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Article
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