基于同步压缩小波变换的检测锚杆参数方法  

BOLT PARAMETERS DETECTION BASED ON SYNCHRONOUS COMPRESSION WAVELET TRANSFORM

作　　者：董佳琦 刘怡明 王明明[1] 孙晓云[1] Dong Jiaqi;Liu Yiming;Wang Mingming;Sun Xiaoyun(Shijiazhuang Tiedao University,Shijiazhuang 050043,Hebei,China;Soochow University,Suzhou 215137,Jiangsu,China)

机构地区：[1]石家庄铁道大学,河北石家庄050043 [2]苏州大学,江苏苏州215137

出　　处：《计算机应用与软件》2023年第1期79-83,102,共6页Computer Applications and Software

基　　金：国家自然科学基金项目(51674169);河北省自然科学基金重点项目(F2019210243);河北省教育厅重点项目(ZD2018039);石家庄铁道大学研究生创新资助项目(YC2020063)。

摘　　要：时频的聚集性是评判信号分析方法效果的主要因素,传统的分析方法已经不能满足时频聚集性要求,因而提出一种高分辨率的分析方法-同步压缩小波变换(Synchrosqueezing Wavelet Transform, SWT)。该方法在频率方向上把小波系数重新挤压和排列,不仅提升时频的分辨率,而且还能实现信号重构。将此方法应用于分析锚杆质量检测数据,与传统的EEMD方法对比表明,SWT能够较为准确地描述信号的频率构成且重构的信号有较好的降噪效果。Time-frequency aggregation is the main factor to judge the effect of signal analysis methods. Traditional analysis methods can no longer meet the requirements of time-frequency aggregation. Therefore, we propose a high-resolution analysis method called synchronous compression wavelet transform(SWT). This method re-squeezed and arranged the wavelet coefficients in the frequency direction, which improved the time-frequency resolution and realized signal reconstruction. This method was applied to analyze the bolt quality inspection data. Compared with the traditional EEMD method, it is shown that SWT can describe the frequency composition of the signal more accurately and the reconstructed signal has a better noise reduction effect.

关 键 词：磁致伸缩导波 同步压缩小波变换 锚杆检测 时频聚集性 

分 类 号：TP[自动化与计算机技术]