基于时域流形稀疏重构方法的滚动轴承故障特征增强研究

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摘要振动信号降噪处理一直是滚动轴承故障诊断中的一个重要的研究内容。本文利用时域流形和匹配追踪的优点，克服两种方法的不足，提出一种优势互补的新方法——时域流形稀疏重构方法。时域流形具有良好的去噪能力，却由于其非线性的处理过程导致振幅信息不能保持。匹配追踪方法的降噪能力与原子本身有关，由于不能保证选取到最能表征信号的原子，故其降噪能力具有局限性。本文提出的方法克服了上述问题。首先通过匹配追踪的方法以时域流形结果为基础从一个过完备字典中找到最匹配的原子，之后以得到的原子与原始信号匹配计算获得重构的稀疏系数，最后通过稀疏系数和得到的原子重构信号，该结果同时具有匹配追踪和时域流形的优点。本文以轴承故障信号分析为例，验证了本方法的有效性。同时和时域流形及匹配追踪方法相比较，结果显示本方法具有明显的优越性。

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	张文清1
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	韩杰2
	谢明伟2

关键词 ：时域流形, 匹配追踪, 稀疏重构, 滚动轴承故障诊断

Abstract：Vibration signaldenoisinghas been one of the most important tasks in signal processing for rolling element bearing fault diagnosis. This paper proposes a new method named time-domain manifold sparse reconstruction method by combining the advantages of time-domain manifold (TM) and matching pursuit (MP). The TM shows the merits of noise suppression and fault information enhancement but it can’t maintain the amplitude information of the signal due to its nonlinear processing. The ability of denoising for the MP is related to the atomitself.Because of the inability to ensure that the selected atoms are the most suitable,the ability of the noise reduction is limited.The method proposed by this paper overcomes these problems. Firstly, we find the most appropriate atoms from an overcomplete dictionary based on the TM result by the MP method. Secondly, we compute the coefficients from the atoms and the origianl signal. Finally, we reconstruct the signal by the atoms and the coefficients achieved before. The proposed method has been employed to deal with defective bearing signals to verify the effectiveness. The results show that the new method is superior to the TM and the MP.

收稿日期: 2015-06-25 出版日期: 2016-12-15

引用本文:

张文清1,2，何清波1，丁晓喜1，韩杰2，谢明伟2. 基于时域流形稀疏重构方法的滚动轴承故障特征增强研究[J]. 振动与冲击, 2016, 35(24): 189-195.
ZHANG Wenqing1,2，HE Qingbo1，DING Xiaoxi1，HAN Jie2，XIE Mingwei2. Rolling Element Bearing Fault Signature EnhancementBased on Time-Domain ManifoldSparse Reconstruction Method. JOURNAL OF VIBRATION AND SHOCK, 2016, 35(24): 189-195.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2016/V35/I24/189

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