基于工作电流信号的设备摩擦状态监测研究  

Study on the friction condition monitoring of devices based on operating current signal

作　　者：王仁德[1] 李国富[1] 娄益蓓 WANG Ren-de;LI Guo-fu;LOU Yi-bei(Faculty of Mechanical Engineering ＆ Mechanics,Ningbo University,Ningbo 315211,China)

机构地区：[1]宁波大学机械工程与力学学院,浙江宁波315211

出　　处：《宁波大学学报（理工版）》2018年第5期36-39,共4页Journal of Ningbo University：Natural Science and Engineering Edition

基　　金：浙江省自然科学基金(LY12E09001);宁波市自然科学基金(2015A610150);宁波市重点学科项目(XK115D223);浙江省新苗人才计划(2015R405072)

摘　　要：针对机床类设备运行过程中摩擦状态的变化,提出基于设备工作电流信号的小波分析,利用小波系数重构各高频带信号,计算各信号的能量值,构造出能量特征向量.通过分析不同时刻各频带的能量值,提取包含摩擦信息的特征能量值,以此作为分析与监测设备摩擦状态的特征量.结果表明,分析来源于设备工作电流信号的摩擦特征量变化曲线,可以获得设备工作过程的摩擦状态,对于实现设备摩擦状态的在线监测具有重要意义.In view of the device＇s friction condition variation during operating,the wavelet analysis technique for current signal is applied to the friction condition testing and analysis.Firstly,the different high frequency band signals are reconstructed using the wavelet transforms.Energy eigenvector is constructed by computing the energy of these signals.Then,the friction feature energy value is computed by comparing the different frequency bands,which can be used to monitor friction condition.Experiments show that the analysis on the curves of the friction feature energy value originated from operating current signals helps to identify the fiction condition of the device,and it may contribute to implementing the on-line friction condition monitoring.

关 键 词：电流信号 小波分析 特征能量值 摩擦特征 摩擦状态监测 

分 类 号：TH117.1[机械工程—机械设计及理论]