Fast identification method of defect signal for in-line inspection of magnetic flux leakage
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。
Abstract
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.
中图分类号 TG115.28 DOI 10.11973/wsjc202310009
所属栏目 试验研究
基金项目 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)
收稿日期 2023/4/25
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备注马义来(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
引用该论文: MA Yilai,SU Xiaoxiang,WEN Yaxing. Fast identification method of defect signal for in-line inspection of magnetic flux leakage[J]. Nondestructive Testing, 2023, 45(10): 43~48
马义来,苏小祥,闻亚星. 漏磁内检测缺陷信号的快速识别方法[J]. 无损检测, 2023, 45(10): 43~48
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