滑动平均滤波算法在超声波探伤仪中的应用

Application of Moving Average Filtering Algorithm in Ultrasonic Flaw Detector

在工业超声波探伤过程中,超声波信号不可避免地存在噪声和瞬时扰动等带来的干扰信号。严重影响了探伤人员对缺陷的判定,造成漏判或者误判。文章分析并比较了几种滤波算法,最后利用滑动平均滤波算法来消除干扰信号,并通过代码的形式实现了滤波算法的功能。通过实验结果表明,滑动平均滤波算法应用在超声波信号处理中能有效地消除干扰信号,减少了干扰信号给探伤带来的影响。

In the industrial ultrasonic flaw detection process,the ultrasonic signal inevitably has interference signals caused by noise and instantaneous disturbance,which seriously affects the flaw detection by personnel,causing missed judgment or misjudgment.The article analyzes and compares several filtering algorithms.Finally,it uses the moving average filtering algorithm to eliminate the interference signal and implements the function of the filtering algorithm in the form of code.The experimental results show that the moving average filtering algorithm can effectively eliminate the interference signal in the ultrasonic signal processing and reduce the influence of the interference signal on the flaw detection.