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基于形态滤波的漏磁信号基线漂移在线处理
引用本文:徐超,王长龙,陈鹏,绳慧.基于形态滤波的漏磁信号基线漂移在线处理[J].军械工程学院学报,2012(1):36-40.
作者姓名:徐超  王长龙  陈鹏  绳慧
作者单位:[1]军械工程学院电气工程系,河北石家庄050003 [2]海军航空工程学院科研部,山东烟台246000
基金项目:河北省自然科学基金资助项目(E2008001258)
摘    要:为了实现快速漏磁检测,采用形态滤波的方法对漏磁信号的基线漂移进行在线处理.首先,运用Maragos类型形态滤波器,选择平面结构元素作为最佳形态滤波形式,并通过实验得到最佳结构元素选取标准;然后,利用该滤波器和小波分解的方法分别对仿真信号和采集到的漏磁信号进行基线漂移的处理.结果表明:形态滤波的方法能够实时准确地实现基线漂移的去除.

关 键 词:形态滤波  基线漂移  漏磁信号  平面结构元素

Removing Baseline Drift of MFL Signal Online by Using Morphological Filter
XU Chao,WANG Chang-long,CHEN Peng,SHENG Hui.Removing Baseline Drift of MFL Signal Online by Using Morphological Filter[J].Journal of Ordnance Engineering College,2012(1):36-40.
Authors:XU Chao  WANG Chang-long  CHEN Peng  SHENG Hui
Institution:1. Department of Electrical Engineering, Ordnance Engineering College, Shijiazhuang 050003, China; 2. Department of Scientific Research, Naval Aeronautical Engineering University, Yantai 246000, China)
Abstract:In this paper,Maragos morphological filter is chosen and flat structuring clement is adopted as the best morphological filter modality. The attenuation magnitude of the signal eliminated by morphological filter is decided by the ratio of signal frequency to sampling frequency and the length of the chosen structure element. Hence, the optimal structural element is selected by the standard to obtain a well-behaved result. A simulation signal is used as an example for analysis and the comparison between the removing baselines drift by the proposed method and wavelet decomposition. The results indicate that morphological filter can accurately remove the baseline drift in time.
Keywords:morphological filter  baseline drift  magnetic flux leakage  flat structure element
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