刀具磨损声发射信号小波分析中小波基的选取

Selecting wavelet basis in wavelet transform analyses of cutting tool wear acoustic emission signal

针对在用小波理论分析刀具磨损声发射(AE)信号时选取不同的小波基对分析结果有重要影响的问题,通过对小波基性质和刀具磨损AE信号特点的研究,从理论上分析了小波分析中刀具磨损AE信号处理中小波基选取的方法。在试验验证过程中,根据信号在小波包分解前后遵循能量守恒的原理,用四种小波基对刀具磨损AE信号进行三层小波包分解。以经小波包分解后AE信号各频带上的频带能量为特征参数,比较四种情况下特征参数的变化,验证了理论分析的正确性。

In order to solve the problem that different wavelet bases have an important impact on the results when the wavelet theory is used to analyze the tool wear acoustic emission （AE） signal, the suitable wavelet basis selection in wavelet analysis from the cutting tool wear acoustic emission （AE） signals was theoretically analyzed through researching the properties of wavelet basis and the features of cutting tool wear AE signal. In the process of experimental verification, the cutting tool wear AE signal was decomposed into 3 level wavelet packets with four different wavelet bases according to the theory of signal energy conservation. When the signal energy in frequency band was taken as characteristic parameter, the theoretical analysis accuracy was confirmed after comparing the contrast of characteristic parameter in these four situations.