交流电机故障特征提取方法及装置研制  

The Development of a Device for Extracting the Fault Features from AC Motor Signals

作　　者：杨大雷[1] 万年红[1] 宋杰峰[1] 

机构地区：[1]上海宝钢工业检测公司,上海201900

出　　处：《机床与液压》2008年第8期175-177,149,共4页Machine Tool & Hydraulics

基　　金：国家自然科学基金重点项目(50335030)

摘　　要：在电流诊断(MCSA)中,通过获取定子电流来分析交流电机系统的故障。由于反映故障信息的特征频率容易被电网工频成分所淹没,使得信号特征的提取难度较大,并成为电流诊断应用的瓶颈。笔者利用交流电压与电流信号中电网工频分量的相关性,使用硬件方法实现了电网相关频率的消除,使微弱的特征信号得到凸现,提高了后续数据采集和故障分析的信噪比和诊断识别故障的准确性。所研制的装置适用于电流法的在线监测,提高了监测诊断的实时性。While using MCSA （Motor Current Signal Analysis） to diagnose the mechanical faults, the weak fault symptoms often are submerged by power frequency, so it is difficult to extract the weak fault information from the current. Making full use of the correlation of the voltage and current, a device was developed to eliminate the power frequency and obtain the faults information. This method is suitable for on-line systems. A simulated experiment was described, which indicates the method can effectively eliminate the power frequency and identify the weak fault symptoms.

关 键 词：电流诊断 故障特征 电网频率 前置装置 

分 类 号：TH113[机械工程—机械设计及理论]