基于HVD降噪和多频段频谱叠加的圆柱滚子轴承故障诊断

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摘要针对圆柱滚子轴承早期故障难以检测的问题，本文提出了一种基于HVD(hilbert vibration decomposition)分解降噪、多频段局部最优频带叠加的滚动轴承故障诊断方法。该方法首先对振动信号HVD分解提取含丰富故障信息的分量，然后对不同频域范围频谱的分析提取多个局部最优频段，并计算局部最优频段经过包络解调后的频谱，最后将子带频谱叠加凸出其中微弱故障信息。将该方法应用于圆柱滚子轴承故障检测中，并与快速峭度图分析结果进行了对比，验证了本文所提方法的有效性。

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	邓四二1
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	张言伟1
	王恒迪1
	张继涛3
	张文虎4

关键词 ：圆柱滚子轴承, 故障诊断, HVD降噪, 频谱叠加

Abstract：

To effectively extract early fault features of roller bearings, a method for fault diagnosis of roller beatings based on HVD (Hilbert vibration decomposition) denoising and multi-band local optimal spectra superposition was proposed. Firstly, the components containing rich fault information were extracted from roller bearings’vibration signals after HVD. Secondly, their multi-band spectra were analyzed to extract multiple local optimal frequency bands. The spectra of local optimal frequency bands after envelope demodulation were calculated. Finally, these spectra were superimposed to protrude the weak fault information contained. The proposed method was applied in fault diagnosis of roller bearings, the results were compared with those using the fast kurtosis analysis, its effectiveness was verified.

Key words： Key words: roller bearing fault diagnosis HVD denoising spectra superposition

收稿日期: 2016-12-13 出版日期: 2018-05-28

引用本文:

邓四二1,2,4，张言伟1，王恒迪1，张继涛3，张文虎4. 基于HVD降噪和多频段频谱叠加的圆柱滚子轴承故障诊断[J]. 振动与冲击, 2018, 37(11): 136-144.
DENG Sier 1,2,4,ZHANG Yanwei1,WANG Hengdi1,ZHANG Jitao3, ZHANG Wenhu4. Roller bearings’ fault diagnosis based on HVD denoising and multi-band spectra superposition. JOURNAL OF VIBRATION AND SHOCK, 2018, 37(11): 136-144.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2018/V37/I11/136

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