Intelligent Fault Detection Method of Mine Electromechanical Equipment Based on Support Vector Machine
The conventional intelligent detection feature extraction for mining electromechanical equipment faults is usually fixed-point detection,which has low detection efficiency and high false alarm rate.Therefore,a support vector machine based intelligent detection method for mining electromechanical equipment faults is proposed.Deploy intelligent auxiliary detection nodes,extract fault level features of electromechanical equipment in a hierarchical manner,and improve overall detection efficiency.Build an intelligent detection model for mechanical and electrical equipment faults using support vector machines,and ensure the detection results through adaptive correction.The results showed that for the associated electromechanical equipment in the selected testing area,combined with three sets of fault testing teams,the final missed alarm rate of fault detection was controlled below 2.4%,indicating that this method is more flexible,versatile,targeted,and has practical application value.
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