小波分析在纸机压榨部轴承故障诊断中的应用  

The Application of Wavelet Analysis in Paper Machine Press Section Bearing Fault Diagnosis

作　　者：舒服华[1] 

机构地区：[1]武汉理工大学机电工程学院,湖北武汉430070

出　　处：《纸和造纸》2006年第3期21-23,共3页Paper and Paper Making

摘　　要：针对纸机压榨部滚动轴承尺寸大响应弱、运转速度低、低频信号容易淹没、调制源多、振动信号非平稳性等特点而导致常规的傅立叶分析诊断故障效果不佳的情况,提出了一种应用小波变换的时频分析方法,对振动信号进行分解和重构处理,获得了振动信号在不同的频段的分量,提取相应特征频段重构分量的功率谱的频域统计值作为特征参数,从而实现对轴承故障诊断。试验结果显示该方法对纸机压榨部故障诊断有很好的效果。A time-frequency analysis method is presented to solve paper machine press section, bearing vibration signals of unstable and complication, applying wavelet function to the unstable signals for faulty bearing according to paper machine press section roll bearing characteristic, and process the vibration signals by means of decomposition and reconstruction, obtaining the vibration signals in different frequency bands, the statistic in frequency domain of relevant frequency bands is served as monitoring feature. Test showed its excellent results of roll bearing fault diagnosis.

关 键 词：小波分析 压榨 滚动轴承 故障诊断 

分 类 号：TS73[轻工技术与工程—制浆造纸工程]