Design and Application of Fault Monitoring and Diagnosis System for Coal Mining Machine in Comprehensive Mining Face
The cutting section of the coal mining machine in the fully mechanized mining face is an important component of coal production,with a high frequency of failures,and its maintenance activities are costly and time-consuming.Coal enterprises urgently need an effective fault monitoring system for the cutting part of the shearer.To address this issue,the integrated importance(IIM)is introduced into the fault tree analysis method to identify weak links in the cutting section of the coal mining machine.A monitoring and diagnostic system based on IIM fault tree analysis method has been developed to identify key faults in the cutting section of the coal mining machine.Taking the MG400/930-WD coal mining machine of XX coal mine as an example,bearing wear can be determined as the key cause of failure through IIM sorting.To verify the effectiveness of the proposed method,a radial bar chart was used to analyze the relative value distribution of four importance measures,and the accuracy of different rankings was evaluated through average accuracy.The results indicate that IIM can clearly distinguish the relative importance of bottom events,and the average accuracy of IIM ranking is 94.52%.Therefore,the proposed method can accurately and effectively identify the causes of key faults,and limited resources should prioritize the bottom events with higher IIM.
coal mining machine cutting sectionfault tree modelcomprehensive importance measurementaverage accuracy mean
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