MASS engine room FMEA using evidential reasoning method
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초록
Failure mode and effects analysis (FMEA) has been widely applied across various industries because of its ability to identify potential risk factors and calculate the risk priority number (RPN) by ranking risks. Maritime autonomous surface ships (MASS) have emerged as a core component of the Fourth Industrial Revolution in the shipping industry. Consequently, studies have been conducted to apply the FMEA to risk assessment in MASS. However, most studies have focused on the ship itself from a macroscopic perspective, with little research on the risk analysis of engine room operations in an unmanned environment. Therefore, in this study, an FMEA was conducted on a freshwater generator system in the engine room of a stage-2 autonomous ship with input from three experts. In addition, the evidential reasoning technique was introduced to address the limitations of the traditional RPN calculation, which can be subjectively influenced by the evaluator’s expertise and background. This approach demonstrates that subjective and qualitative RPN calculations can be transformed into more comprehensive and quantitative results. Using this methodology, the study identified ejector pump malfunction as the highest-risk failure mode among the five potential hazards suggested by experts in the system.
Abstract
Failure mode and effects analysis (FMEA) has been widely applied across various industries because of its ability to identify potential risk factors and calculate the risk priority number (RPN) by ranking risks. Maritime autonomous surface ships (MASS) have emerged as a core component of the Fourth Industrial Revolution in the shipping industry. Consequently, studies have been conducted to apply the FMEA to risk assessment in MASS. However, most studies have focused on the ship itself from a macroscopic perspective, with little research on the risk analysis of engine room operations in an unmanned environment. Therefore, in this study, an FMEA was conducted on a freshwater generator system in the engine room of a stage-2 autonomous ship with input from three experts. In addition, the evidential reasoning technique was introduced to address the limitations of the traditional RPN calculation, which can be subjectively influenced by the evaluator’s expertise and background. This approach demonstrates that subjective and qualitative RPN calculations can be transformed into more comprehensive and quantitative results. Using this methodology, the study identified ejector pump malfunction as the highest-risk failure mode among the five potential hazards suggested by experts in the system.
참고문헌 (15)
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