基于广义谐波小波的低速重载轴承故障诊断  

Low Speed Rolling Bearing Fault Diagnosis Based on General Harmonic Wavelet

作　　者：侯澍 李友荣[1] 刘光临[1] 

机构地区：[1]武汉科技大学机械自动化学院,武汉430081

出　　处：《煤矿机械》2005年第12期153-155,共3页Coal Mine Machinery

基　　金：湖北省机械传动与制造工程重点实验室资助项目(2005A04)

摘　　要：广义谐波小波可任意选取频带,是理想的带通滤波器。将广义谐波小波结合共振解调技术,可较好地提取轴承故障激发的共振信息。应用该方法,对某转炉耳轴轴承进行故障诊断,诊断结果与实际情况相符。General harmonic wavelet is an ideal band- pass filter, due to selecting frequency range discretionarily. The fault characteristic of rolling bearing can be extracted via integrating general harmonic wavelet and resonance demodulation technique. By the proposed method, the rolling bearing fault of a converter trunnion was detected. The diagnosed results are consistent with the fact.

关 键 词：广义谐波小波 低速重栽轴承 共振解调 故障诊断 

分 类 号：TH133.33[机械工程—机械制造及自动化] TB526[理学—物理]