The vibration signal of roller bearings contains important information, but the strong background noise makes fault diagnosis difficult. In this paper, inspired by the idea of a block-matching 3D algorithm, using local and nonlocal correlation of vibration signal, a patch-matching 2D (PM2D) denoising method is proposed for the first time to suppress noise in vibration signals. The proposed denoising method constructs similarity matrices of component modules, which are used for threshold processing to determine the coefficients of the 2D discrete cosine transform, so as to achieve optimal denoising performance. Then, empirical mode decomposition and envelope analysis are employed to perform fault diagnosis. The proposed PM2D denoising method and fault diagnosis strategies are applied to both simulated and measured signals. A comparison study shows the superiority of the proposed method over the other existing denoising methods.

中文翻译：

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滚动轴承故障诊断的新型补丁匹配二维降噪方法

滚动轴承的振动信号包含重要信息，但是强烈的背景噪音使故障诊断变得困难。在本文中，受块匹配3D算法思想的启发，利用振动信号的局部和非局部相关性，首次提出了补丁匹配2D（PM2D）去噪方法，以抑制振动信号中的噪声。所提出的去噪方法构造了组件模块的相似度矩阵，将它们用于阈值处理以确定二维离散余弦变换的系数，从而获得最佳的去噪性能。然后，采用经验模式分解和包络分析进行故障诊断。提出的PM2D去噪方法和故障诊断策略被应用于模拟信号和测量信号。