基于多尺度形态滤波和递归求差的冲击特征自适应分离方法

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振动与冲击 ›› 2024, Vol. 43 ›› Issue (5) : 149-158.

论文

和丹1,2，权伟1，汤明军3，刘晖1

作者信息 +

Adaptive separation method for impact features based on multiscale morphological filtering and recursive subtraction

HE Dan1,2,QUAN Wei1,TANG Mingjun3,LIU Hui1

Author information +

文章历史 +

摘要

针对故障诊断中的耦合冲击特征提取和分离难题，提出了一种基于多尺度形态滤波(Multiscale morphological filtering，MMF)和递归求差的冲击特征自适应提取与分离方法。首先，利用EA指标和频响特性分析，从典型组合算子中筛选出适合冲击特征分离的CMFH形态学算子；其次，利用CMFH形态学算子和加权谐噪比(WHNR)指标实现周期性冲击特征提取；然后，利用SOSO（Strengthen Operate Subtract Operate）技术抑制谐波干扰和白噪声，进一步增强周期性冲击特征；最后，通过迭代求差思想构造循环滤波器，对周期性冲击特征进行多尺度提取与分离。仿真数据和牵引电机轴承故障数据分析结果表明，本文所提方法在随机冲击、谐波干扰下的周期性冲击提取能力优于最新盲解卷积(CYCBD)方法和经典谱峭度方法。

Abstract

Aiming at the difficult problem that the coupled impact feature extraction and separation in fault diagnosis, a method of adaptive extraction and separation of impact features based on multiscale morphological filtering (MMF) and recursive differencing was proposed. Firstly, the CMFH morphological operator suitable for impact feature separation is selected from the typical combinatorial operators using EA index and frequency response characteristic analysis; Secondly, the periodic impact features are extracted using the CMFH morphological operator and the weighted harmonic-to-noise ratio (WHNR) index; Then, the SOSO technique is used to suppress harmonic interference and white noise to further enhance the periodic impact features; Finally, the cyclic filter is constructed by iterative difference idea to extract and separate the periodic impact features at multiple scales. The simulation data and the analysis results of the traction motor bearing fault data show that the proposed method is better than the latest blind deconvolution (CYCBD) method and the classical spectral kurtosis method in extracting periodic impact under random impacts and harmonic disturbances.

导出引用

和丹1,2，权伟1，汤明军3，刘晖1. 基于多尺度形态滤波和递归求差的冲击特征自适应分离方法[J]. 振动与冲击, 2024, 43(5): 149-158

HE Dan1,2,QUAN Wei1,TANG Mingjun3,LIU Hui1. Adaptive separation method for impact features based on multiscale morphological filtering and recursive subtraction[J]. Journal of Vibration and Shock, 2024, 43(5): 149-158

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