声发射无损检测技术在管道故障检测中的应用

Application of Acoustic Emission Non destructive Testing Technology in Pipeline Fault Detection

管道运输工作现场环境复杂,复杂多变的噪声源影响所监测到测量信号,针对复杂信号的提取。本文在退役管道上通过模拟实验获取不同类型的三类信号:断铅、金属棒敲击和砂纸三种声发射信号源,获取故障信号数据,并将数据进行处理,成为可显示的电子信号图像,从而可以进行采集,处理和分析,同时,因为信号具有复杂性,提出对采集到的信号进行小波去噪,去除信号中无意义的部分,大量采集信号中所需要的的信号,为故障信号数据类别判定提供有效保障。

The pipeline transportation work site environment is complex,and the complex and ever-changing noise sources affect the measured signals.This is aimed at extracting complex signals.This article obtains three types of acoustic emission signals of different types through simulation experiments on retired pipelines:lead breaking,metal rod tapping,and sandpaper.Fault signal data is obtained and processed to form a visible electronic signal image,which can be collected,processed,and analyzed.At the same time,due to the complexity of the signals,wavelet denoising is proposed to remove meaningless parts of the collected signals,Collect a large number of signals required for fault signal data classification,providing effective guarantee.