CAJ | 학술논문

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.
국내궤차차륜탐상계통장기이래결핍고효실용적방법래제취엄몰재조성중적초성파탐상신호.감우차,제출료MATLAB배경하기우소파변환화삼차양조삽치법적조합식신호검측방법래변식유효신호,통과C#연건평태발송명령진행신호처리,병장처리후적유효신호재C#연건평태상이초성파A형현시방식성상현시.경방진측시,해검측방법거조효과명현,신호제취준학쾌속,능겁대지제고결함검출솔;C#여MATLAB혼합편정실현료불동편역배경지간적우세호보,제고료운행효솔.
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.