小波分析在声发射资料处理中的初步应用

The Preliminry Application of Wavelet Analysis to the Data Process of Acoustic Emission

针对声发射数据分析的一些难点 ,把最近 2 0年发展起来的小波技术引入声发射资料处理中 ,分析证明结果可靠。它在本文中的应用有 :(1)提取有效信息。小波强大分解 (细化 )能力可用来从高噪音中找出有效记录 ,分解合成时可以去掉不理想的通道 ,使声发射数据更加“规则化” ,有望实现到时自动判读。 (2 )对相互叠加的事件进行有效分离。结合全波形记录 ,可使事件尽可能少丢失 ,提高声发射数量统计及b值计算等的精度。 (3)使成份复杂的声发射波形数据分离成具有单一特征的波 ,但分解后的波究竟属于P波还是S波 ,甚至面波 。

Aiming at some difficulties in the process of analyzing the data of acoustic emission,we apply the wavelet technique which has been developed in recent two decades to the process of the data of acoustic emission.And the result proves to be reliable.Specifically,this method is applied to the following three aspects:①extract significant information.The powerful decomposing capability can be used to pick significant records,and get rid of some unsatisfying channels.In this way,the data of acoustic emission will be regularized and the automatic discernment and read-out of the arrival time would be realized.②separate the superposed events effectively.Combining this method with the whole wave record,the loss of the events will be reduced to the minimum.The precision of statistical figures of the acousitc emission and b-value will be improved.③separate the complex acoustic-wave data into waves with single characteristic.Yet,whether these separated waves belong to P wave or S wave or surface wave still remains undecided.