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基于中值滤波的铁磁材料缺陷漏磁检测信号处理
引用本文:李小娟,李岩松,田硕文,刘君,王麒翔. 基于中值滤波的铁磁材料缺陷漏磁检测信号处理[J]. 电测与仪表, 2022, 59(3): 143-150. DOI: 10.19753/j.issn1001-1390.2022.03.019
作者姓名:李小娟  李岩松  田硕文  刘君  王麒翔
作者单位:华北电力大学电气与电子工程学院,北京102206
基金项目:国家自然科学基金资助项目(51277066);
摘    要:漏磁检测反演问题主要是通过漏磁检测信号来反演出缺陷的轮廓尺寸等信息,由于漏磁检测反演问题具有不适定性,因此漏磁检测信号的精度对反演结果的准确性影响很大.实际检测漏磁信号中存在大量复杂的噪声信号,无法直接用其展开反演计算.一般漏磁信号中含有的噪声量包括高频噪声和基线漂移信号.为了过滤掉这些噪声,在中值滤波算法的基础上,将...

关 键 词:漏磁检测  反演  高频噪声  基线漂移  中值滤波
收稿时间:2019-12-23
修稿时间:2020-01-09

Signal processing of MFL detection of ferromagnetic material defects based on median filter
lixiaojuan,liyansong,tianshuowen,liujun and wangqixiang. Signal processing of MFL detection of ferromagnetic material defects based on median filter[J]. Electrical Measurement & Instrumentation, 2022, 59(3): 143-150. DOI: 10.19753/j.issn1001-1390.2022.03.019
Authors:lixiaojuan  liyansong  tianshuowen  liujun  wangqixiang
Affiliation:North China Electric Power University,North China Electric Power University,North China Electric Power University,North China Electric Power University,North China Electric Power University
Abstract:The inversion problem of MFL detection is mainly to reverse the contour size of defects through MFL detection signals. The inverse problem of MFL detection is ill posed, so the accuracy of MFL detection signals has a great impact on the accuracy of inversion results. There are a lot of complex noise signals in the actual detection of MFL signals, which can not be directly used for inversion calculation. Based on the median filter algorithm, this paper proposes a multilevel filter algorithm for MFL signal processing, which can eliminate the possible high frequency noise in MFL signal through the improved median filter algorithm of level 2, and then carry out the median filter of level 2 to eliminate the impact of low frequency baseline drift. The experimental platform is built to collect MFL signals and the filtering algorithm is studied, which proves that the filtering algorithm has good noise reduction effect on the original MFL signals.
Keywords:Magnetic flux leakage detection   inversion   high frequency noise   baseline drift   median filtering
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