基于振动信号的煤矿机电设备缺陷检测与诊断方法

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中图分类号：TD67；TQ05 文献标识码：A 文章编号：1001-5922（2025）10-0156-04

Defect detection and diagnosis method of coal mine electromechanical equipment based on vibration signal

DING Xuhai，MI Yanjun，XU Hongliang，LIBo，AO Shuai （CHN Energy Shaanxi Deyuan Fugu Energy Co.，Ltd.，Sandaogou Coliery，Yulin ，Shaanxi China）

Abstract：The high failure rateof mechanicaland electrical equipment incoal mine affects thesafety productionof enterprises.Amethodof defectdetectionand diagnosis of mechanical and electrical equipment incoal mine based on vibrationsignal is proposed.In this method，the measured vibration signal is processedby ensemble empirical mode decomposition，and the efective IMF component is determined by correlation coefficient，kurtosis，mean square error and Euclidian distance.The IMF component is selected to construct the initial eigenvector matrix， and the singular value entropyiscalculated todetectand diagnose thedefects of the mine mechanicalandelectrical equipment.The proposed methodof equipmentdefectdetectionand diagnosis isapplied to the mechanicaland electrical equipment ofcoal mine，and compared with EMD singularvalue entropy method;the effctiveness of the proposed method is verified.EEMD singular value entropy defect detection and diagnosis methodcan clearly classify different types of faults，and has relatively high accuracy of defect detection and diagnosis.

Key words：ensemble empirical mode decomposition；singular value entropy;equipment defect detection；coal electromechanical equipment

煤矿机电设备往往在极端复杂的化学腐蚀环境与高强度机械应力环境下服役，这使得其不仅面临来自煤尘积累导致的散热问题，同时还有化工物质侵蚀引起的材料老化问题。（剩余5087字）