基于小波分析的汽轮机碰磨故障诊断  

Fault Diagnosis of Rotating Machinery Rubbing Based on Wavelet Analysis

作　　者：周小祥[1] 陈尔奎[1] 刘立星[1] 熊一睿 

机构地区：[1]江南大学通信与控制工程学院,无锡214122 [2]江苏镇江发电有限公司检修部,镇江212114

出　　处：《汽轮机技术》2006年第3期218-220,共3页Turbine Technology

摘　　要：振动故障是故障诊断中的难点,故障原因复杂、类别繁多。小波分析因具有良好的时频局部性及多分辨率分析特性,被广泛地应用在振动故障诊断中。介绍了小波分析方法在振动故障诊断中的应用,利用时频等高图确定汽轮机碰磨故障发生的时刻,借助小波包特征熵向量诊断碰磨故障的严重程度,从而提出了完整的汽轮机碰磨故障的小波分析诊断方法。The vibration fault diagnosis is very difficult because of complex causes and classification. Wavelet has good time-frequency location and good multi - differentiation, so it is widely used in fault diagnosis of vibration. The application of wavelet analysis in vibration is introduced in this paper. Using time-frequency contour map to detect the time when fault happened and using wavelet packet characteristic entropy vector to diagnose the degree that rubbing reached, an integral wavelet analysis method of diagnosing turbine＇ s rubbing is proposed in this article.

关 键 词：小波分析 故障诊断 时频等高图 特征熵向量 汽轮机 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]