机车车轮超声波探伤信号检测方法研究  

Research on Detection Method of Locomotive Wheels' Ultrasonic Testing Signal

作　　者：赵阳[1] 梅劲松[1] 吕岑[2] 

机构地区：[1]南京航空航天大学自动化学院,江苏南京210016 [2]东南大学信息科学与工程学院,江苏南京210096

出　　处：《计算机技术与发展》2013年第2期211-214,共4页Computer Technology and Development

基　　金：国家自然科学基金资助项目(61104020);南京航空航天大学基本科研业务费专项科研项目(NZ2012009)

摘　　要：国内机车车轮探伤系统长期以来缺乏高效实用的方法来提取淹没在噪声中的超声波探伤信号。鉴于此,提出了MATLAB环境下基于小波变换和三次样条插值法的组合式信号检测方法来辨识有效信号,通过C#软件平台发送命令进行信号处理,并将处理后的有效信号在C#软件平台上以超声波A型显示方式成像显示。经仿真测试,该检测方法去噪效果明显,信号提取准确快速,能极大地提高缺陷检出率;C#与MATLAB混合编程实现了不同编译环境之间的优势互补,提高了运行效率。With the reason that domestic locomotive wheel flaw detection system has long been a lack of efficient and practical means to extract the ultrasonic flaw signals in noisy environments, suggest that the signal can be identified in effect by combined signal detection methods, which include wavelet transform method and cubic spline interpolation method. Through the platform to send commands to per- form signal processing, so the signal can be seen by the A-Scan based on the C# software platform. Simulation results illustrate that the de -noising＇s effect is obvious. With the fast and accurate signals, the methods can greatly improve the defect detection rate. In addition, mixed programming of C# and MATLAB with the complementary strengths of the different building environment can improve operational efficiency.

关 键 词：超声探伤信号 MATLAB C# 小波变换 三次样条插值法 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]