高压水射流靶物探测反射声优化处理方法  

Optimal processing method of reflection sound signal in high pressure water jet target detecting

作　　者：杨洪涛[1] 方传智 

机构地区：[1]安徽理工大学机械工程学院,安徽淮南232001

出　　处：《合肥工业大学学报（自然科学版）》2014年第4期457-461,共5页Journal of Hefei University of Technology：Natural Science

基　　金：国家自然科学基金资助项目(51075002)

摘　　要：为了减少高压水射流冲击靶物的反射声信号的数据处理量，提高识别靶物材质和几何尺寸效率，文章对高压水射流反射声信号进行优化处理，利用小波变换理论进行降噪，应用小波包算法将信号按频率分层；利用模极大值算法处理各层信号，寻找能够确定靶物边界点的信号分量，确定用于几何尺寸判定的反射声信号最优频率范围；利用各层信号的能量分布作为特征值，结合支持向量机算法识别靶物材质，以最好识别率为优化指标，确定材质判断的最优频率范围的信号分量。介绍了上述算法的基本原理，编制了相应数据处理程序，利用高压水射流装置与数据采集卡设计实验装置进行实验，采集数据进行处理；确定判别靶物尺寸的反射声最优频率段为0～2.5 kHz ，判别靶物材质的最优频率段为5～20 kHz ；最终确定在特定频率段进行尺寸和材质识别，相对选用全部数据能减小数据处理量，有更高的识别效率。In order to reduce the processing data volume of the reflection signal produced by high pressure water jet and to improve the identification efficiency of target material and geometric size ,the reflection signal was processed to reduce noise by using wavelet transform theory and decomposed by using wavelet packet algo-rithm .The signal component decomposed was processed by using modulus maxima algorithm and the signal component with optimal frequency range was selected which could be used to confirm the target boundary point and identify the geometric size of target .The energy distribution of different signal components was a-dopted as the eigenvalue of target material ,which was input into support vector machine algorithm to recog-nize the target material .The best recognition rate was used as the optimization index for determining the sig-nal component with optimal frequency range .The detailed basic principle of the above algorithm was intro-duced and the corresponding data processing software was programmed . The experimental equipment was built by using the high pressure water jet device and high-speed data acquisition card .The experiments were done and the acquired data was processed .The results indicate that the optimal frequency range of reflection sound signal to identify target size is 0-2.5 kHz ,the optimal frequency range of reflection sound signal to rec-ognize target material is 5-20 kHz .So the specific frequencies to identify target material and size are deter-mined ,w hich can reduce the amount of data processing and improve the identification efficiency .

关 键 词：高压水射流 小波包 模极大值 支持向量机 最优频率范围 

分 类 号：TN911.3[电子电信—通信与信息系统]