基于小波变换的故障信号分析与检测

讨论了小波变换及其基本性质，探讨基于小波变换模最大值沿尺度演变的信号突变检测的基本原理与方法，在不同尺度上分析和处理信号的各种频率分量，使信号的奇点，突变点放大，提高信号的分辨率，信噪比。研究小波分析在机械工程信号处理中的应用，提出通过二进小波变换检测信号奇异点的实用技术。利用介绍的模极大值多尺度小波变换的方法，较有效地检测出滚动轴承故障发生的起始点，对在线故障诊断进行了有益的探索。

Fault signal analysis and detection based on wavelet transform

The wavelet transform and its basic properties are described. The principle and method based on signal break detection of wavelet transform modulus maximum varying along the scale are also discussed. All sorts of the frequency are analyzed and processed on various scales to amplify the odd and break points of signal and improve the resolving power and SNR . The application of wavelet theory in signal processing in mechanical engineering field is also discussed and a practical technique for signal singularity detection is proposed. The initial fault locations of roll bearing are effectively detected using the method of the multi\|scale wavelet transform modulus maximum. It delivers of exploring beneficial to online fault diagnosis.