Sparse representation based on local time-frequency template matching for bearing transient fault feature extraction
Sparse representation based on local time-frequency template matching for bearing transient fault feature extraction
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DOI：
10.1016/j.jsv.2016.01.054
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发表时间：
2016-05-26
影响因子：
4.7
通讯作者：
Ding, Xiaoxi
中科院分区：
文献类型：
--
作者：
He, Qingbo;Ding, Xiaoxi
局部故障引起的瞬变是轴承故障诊断的重要测量信息。因此，从总是被大量背景噪声破坏的轴承振动或声信号中提取瞬态信号至关重要。本文提出了一种基于时频（TF）域稀疏表示的迭代瞬态特征提取方法。该方法是通过提出一种称为本地 TF 模板匹配的新方法来实现的。在该方法中，基于 Morlet 小波基的 TF 分布（TFD）构建 TF 原子，并根据 TF 原子制定局部 TF 模板以进行匹配过程。根据分析信号的 TFD 计算出的瞬时频率 (IF) 脊提供了 TF 原子的频率参数值以及 TF 平面上的有效模板匹配路径。在每次迭代中，采用局部TF模板与沿IF脊管分析信号的TFD进行相关，以确定瞬态小波模型的最佳参数。通过这种迭代过程，可以从测量信号中逐一提取 TF 域中的瞬态。最终信号可以通过组合提取的 TF 原子和原始信号的相位来合成。局部TF模板匹配构建了一种有效的基于TF匹配的稀疏表示方法，其优点是满足瞬态的原生脉冲波形结构。通过实际的缺陷轴承信号验证了该方法的有效性。比较结果还表明，该方法在瞬态特征提取方面优于传统方法。 (C) 2016 Elsevier Ltd. 保留所有权利。
The transients caused by the localized fault are important measurement information for bearing fault diagnosis. Thus it is crucial to extract the transients from the bearing vibration or acoustic signals that are always corrupted by a large amount of background noise. In this paper, an iterative transient feature extraction approach is proposed based on time-frequency (TF) domain sparse representation. The approach is realized by presenting a new method, called local TF template matching. In this method, the TF atoms are constructed based on the TF distribution (TFD) of the Morlet wavelet bases and local TF templates are formulated from the TF atoms for the matching process. The instantaneous frequency (IF) ridge calculated from the TFD of an analyzed signal provides the frequency parameter values for the TF atoms as well as an effective template matching path on the TF plane. In each iteration, local TF templates are employed to do correlation with the TFD of the analyzed signal along the IF ridge tube for identifying the optimum parameters of transient wavelet model. With this iterative procedure, transients can be extracted in the TF domain from measured signals one by one. The final signal can be synthesized by combining the extracted TF atoms and the phase of the raw signal. The local TF template matching builds an effective TF matching-based sparse representation approach with the merit of satisfying the native pulse waveform structure of transients. The effectiveness of the proposed method is verified by practical defective bearing signals. Comparison results also show that the proposed method is superior to traditional methods in transient feature extraction. (C) 2016 Elsevier Ltd. All rights reserved.