尺度自适应提升小波变换在煤矿电机轴承故障诊断中应用  

Applications of Scale Adaptive Lifting Wavelet Transform in Fault Diagnosis of Coalmine Motor Bearings

作　　者：陈婀娜[1] 

机构地区：[1]贵州师范大学机械与电气工程学院,贵阳550001

出　　处：《煤矿机械》2014年第1期237-238,共2页Coal Mine Machinery

基　　金：贵州省自然科学基金(黔科合J字LKS[2011]22号)

摘　　要：针对煤矿关键设备中滚动轴承容易被损伤的机械故障诊断问题,通过分析在重载/变载荷等条件下的故障机理和煤矿电机设备轴承微弱故障的信号特征,直接构造匹配信号的尺度自适应提升小波变换,对振动信号进行更加精细的分析,实现了煤矿电机轴承故障的在线监测与故障智能诊断。For rolling of the mine key equipment is damaged easily the problem which is machinery fault diagnosis,through the failure mechanism of the reload / variable load conditions and the weak fault signal characteristics of coal mine electrical equipment bearing are analyzed,a more refined analysis of the vibration signal and achieve coal mining equipment online monitoring and intelligent fault diagnosis system is constructed directly by scale adaptive lifting wavelet transform。

关 键 词：提升法 小波变换 尺度自适应 故障诊断 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]