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New FMEA Risks Ranking Approach Utilizing Four Fuzzy Logic Systems (CROSBI ID 301003)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Ivančan, Jelena ; Lisjak, Dragutin New FMEA Risks Ranking Approach Utilizing Four Fuzzy Logic Systems // Machines, 9 (2021), 11; 292, 22. doi: 10.3390/machines9110292

Podaci o odgovornosti

Ivančan, Jelena ; Lisjak, Dragutin

engleski

New FMEA Risks Ranking Approach Utilizing Four Fuzzy Logic Systems

Process equipment and plant maintenance problems are complex in the oil refinery business, since effective maintenance needs to ensure the reliability and availability of the plant. Failure Mode and Effects Analysis (FMEA) is a risk assessment tool that aims to determine possible failure modes, and to reduce the ratio of unknown failure modes, by identifying business-critical systems and the risks of their failures. For the identified failure modes, FMEA determines risk mitigation action(s). The goal is to prevent failure and keep assets and plants running at peak performance by providing fully integrated operations, maintenance, turnarounds, modifications, and asset integrity solutions, during all phases of the asset life cycle. This research was based on FMEA use/application in refineries’ units, and proposes the new fuzzy FMEA risk quantification approach method: “four fuzzy logic system”. The model included a pre- assessment, by sets of fuzzy logic systems, that examined the input parameters that affected the variables of severity, occurrence, and detectability. The proposed model prioritized risks better and addressed the drawbacks of the conventional FMEA method.

FMEA ; fuzzy logic ; RPN

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Podaci o izdanju

9 (11)

2021.

292

22

objavljeno

2075-1702

10.3390/machines9110292

Trošak objave rada u otvorenom pristupu

Povezanost rada

Strojarstvo

Poveznice
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