Risk-Based Maintenance Strategies on Fishing Vessel Refrigeration Systems Using Fuzzy-FMEA

Applying the fuzzy logic method to FMEA and its correlation with performance investigations is rarely applied in analyzing refrigeration system risk. The aim of this study is investigate the refrigeration system performance and analyze the risk of failure mode in the performance of the refrigeration system using the fuzzy-FMEA method. In calculating performance, the COP parameter is needed. Prioritization of failure modes uses conventional FMEA (C-FMEA) and fuzzy-based FMEA (Fuzzy-FMEA), which produces conventional RPN (C-RPN) and fuzzy-RPN (F-RPN). Pareto diagrams are used to classify RPN categories which are the main causes. The result of the study is that the calculation of the refrigeration system performance shows a decreasing trend with increasing operating time. In the risk analysis, it was found that the F₂₁ (evaporator) failure has the same rating, and the highest is C-RPN (252) and F-RPN (750). Five categories need to be mitigated. The application of fuzzy-FMEA determines the critical failure priority of the evaporator. The results of this study provide new insights into developing engine performance investigations by determining critical failure modes to get mitigation quickly by minimizing expert opinion expertise.