小波分析在汽轮机叶片故障诊断中的应用研究  

Application of Wavelet Analysis to Fault Diagnosis of Steam Turbine Blades

作　　者：安连锁[1] 刘江[1] 葛永庆[1] 

机构地区：[1]华北电力大学动力系,河北保定071003

出　　处：《电力科学与工程》2006年第1期10-14,共5页Electric Power Science and Engineering

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的方法。结果表明,小波的方法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和故障诊断变得容易,具有良好的效果。With a brief description of the fundamental theory of wavelet analysis, the wavelet multi-resolution analysis in fault diagnosis of steam turbine blade is presented. It is suggested that the characteristics of sharp and jumping in the transient impact signals are more visible after the signals are treated by wavelets. The pick-up of characteristics and fault diagnosis can be easily conducted in the pretreatrnent 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 傅里叶变换 

分 类 号：TK26[动力工程及工程热物理—动力机械及工程]