A hazard analysis of heavy CNC machine tools based on fusion fault correlation

This paper presents an analysis of the fault correlation between CNC machine tool subsystems using decision laboratory analysis and the House of Reliability (HoR) methodology. Initially, the maintenance information of the machine tool and other hazard indicators is comprehensively analyzed based on the cognitive best worst method (CBWM) to assign weights of hazard indicators. The HoR method is then employed to perform fault correlation fusion, which results in comprehensive hazard analysis results of the machine tool subsystems considering the fault correlation. Finally, the results obtained from the fusion fault correlation and the traditional hazard analysis are compared. The results indicate that the proposed method can highlight the relatively important subsystems and the most vulnerable parts of the machine tools. Overall, the hazard analysis results of this paper contribute to the safe and reliable operational and maintenance optimization of CNC machine tools.

Automated summary

This paper analyzes the fault correlation between CNC machine tool subsystems using decision laboratory analysis and the House of Reliability (HoR) methodology. The cognitive best worst method (CBWM) is used to comprehensively analyze maintenance information and hazard indicators. The HoR method is then employed to perform fault correlation fusion, resulting in comprehensive hazard analysis results. Comparing the fusion fault correlation with traditional hazard analysis, the proposed method identifies important subsystems and vulnerable machine tool parts. Overall, the hazard analysis results contribute to the safe and reliable operation and maintenance optimization of CNC machine tools.