Research on the failure modes of autonomous navigation equipment based on the improved expert evaluation method

An improved evaluation method based on AHP-EWM-TOPSIS method is proposed to mitigate the subjectivity inherent in the expert evaluation method. Due to lack of practical vessel data for autonomous navigation equipment, the improved expert evaluation method is used to evaluate failure modes of autonomous navigation equipment. In this study, four experts participate in assessing 85 distinct equipment failure modes in autonomous navigation vessels, and the AHP method is used to objectively calculate these experts' weights. The evaluation data are standardized using the refined Entropy Weight Method (EWM) by Max-Min method, and the weights of evaluation criteria Severity, Occurrence and Detection are established. The TOPSIS method is utilized to rank the failure modes in autonomous navigation equipment, ultimately pinpointing the Emergency fire pump and drive equipment (equipment risk is Vessel main engine failure) as the most critical failure mode. Different expert weights are used to compare the ranking results of failure modes of autonomous navigation equipment, which confirms the reasonableness and effectiveness of the improved expert evaluation method in this paper.