摘要
漏磁内检测缺陷信号分析识别是漏磁检测技术的关键部分,为了快速识别管体缺陷信号,提高数据分析的准确率和效率,开发了基于低通滤波和差分的信号处理算法,并对漏磁内检测探头的各通道检测信号进行降噪优化处理,确定了管体缺陷识别规则。工程检测结果表明,处理过的检测信号清晰、易于快速识别,开挖检测结果与信号识别结果一致,该信号处理方式有助于快速准确识别管体缺陷信号。
The analysis and identification of defect signals was a key part of magnetic flux leakage inspection technology.In order to quickly identify pipe defect signals and improve the accuracy and efficiency of data analysis,a signal processing algorithm based on low-pass filtering and differential was developed.The noise reduction and optimization processing were carried out on the detection signals of each channel of the magnetic flux leakage detection probe,and pipe defect recognition rules were formulated.Engineering test results showed that the detection signals were clear and easy to identify quickly,the excavation detection results were consistent with the signal identification results,and the signal processing method helped to identify the pipe defect signal quickly and accurately.
作者
马义来
苏小祥
闻亚星
MA Yilai;SU Xiaoxiang;WEN Yaxing(China Special Equipment Inspection and Research Institute,Beijing 100029,China;GTA Semiconductor Co.,Ltd.,Shanghai 200123,China)
出处
《无损检测》
CAS
2023年第10期43-48,共6页
Nondestructive Testing
基金
中国特检院青年科技英才项目(KJYC-2023-10)
总局科技计划项目(2020MK177)。
关键词
信号识别
信号处理
漏磁内检测
signal recognition
signal processing
magnetic flux leakage inspection
作者简介
马义来(1987-),男,博士,高级工程师,主要从事油气管道无损检测技术的研究及设备研发工作;通信作者:闻亚星(1987-),男,硕士,工程师,主要从事油气管道无损检测技术研究及应用工作,wenstars@126.com。
