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具有多尺度（分辨）分析和时—频局部化特性的小波分析技术，特别适用于边缘信号和峰值突变信号的处理和特征提取，因此在故障检测和故障诊断中将会有很大的发展前途。本文用小波变换的方法对汽轮机进行初步故障检测和故障诊断，结果表明小波分析在电力设备故障检测和诊断中有很好的应用前景。
Wavelet analysis technology with multi-scale (resolution) analysis and time-frequency localization features is especially suitable for the processing and feature extraction of edge and peak abrupt signals. Therefore, there will be great development in fault detection and fault diagnosis . In this paper, the initial fault detection and fault diagnosis of steam turbines are carried out by wavelet transform. The results show that wavelet analysis has a good application prospect in fault detection and diagnosis of power equipment.