基于小波分析的汽轮机叶片故障诊断技术  

Fault Diagnosis Technology for Steam Turbine Blade Based on Wavelet Analysis

作　　者：刘江[1] 葛永庆[1] 温志强[1] 张文宝[1] 

机构地区：[1]华北电力大学动力系,保定071003

出　　处：《汽轮机技术》2006年第5期379-382,共4页Turbine Technology

摘　　要：简述了小波分析的基础理论和算法,论述了在小波多分辨率分析下进行汽轮机叶片故障诊断的方法。结果表明,小波的方法能很好地保存瞬态信号中的尖峰和突变部分,对振动信号进行处理后再进行特征提取,使故障诊断变得容易,具有良好的效果。After a brief description of the fundamental theory of wavelet analysis, discussed the method of wavelet multi-resolution analysis in fault diagnosis of steam turbine blade. It is suggested the characteristics of sharp and jumping in the transient impact signals are more visible after the signals are treated by wavelets. And the pick - up of characteristics and fault diagnosis could be easily conducted in the pretreatment of the vibration signals with wavelets. Experiment result shows that the method is practicable.

关 键 词：汽轮机叶片 故障诊断 小波分析 傅立叶变换 

分 类 号：TK277[动力工程及工程热物理—动力机械及工程]