基于集成包络谱的滚动轴承早期故障检测指标

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摘要针对常规统计指标对滚动轴承早期故障不敏感的问题，本文基于集成包络谱(Integrated Envelope Spectrum, IES)提出一种滚动轴承早期故障检测指标——集成包络谱谱峰因子(Integrated Envelope Spectrum Peak Factor, IESPF)，应用于轴承早期故障检测。首先对信号进行快速谱相干(Fast spectral Coherence, Fast-SCoh)计算；然后根据循环频率与谱频率的映射关系确定包含故障信息丰富的频带，并对该频带积分获得IES；最后计算IES的最大值与其均方根值的比值，从而获得本文所提指标IESPF，应用于轴承外圈故障检测。通过分析滚动轴承外圈模拟故障实验数据和疲劳实验数据表明，本文所提指标对轴承外圈早期故障较敏感，适用于早期故障检测。

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	杨新敏
	郭瑜
	田田
	朱云贵

关键词 ：滚动轴承, 快速谱相干, 集成包络谱, 集成包络谱谱峰因子, 早期故障检测

Abstract：Aiming at the problem that conventional statistical index is not sensitive to the early fault of bearing, an early fault detection indicator (Integrated Envelope Spectrum Peak Factor, IESPF)of rolling bearings is proposed based on integrated envelope spectrum (IES), which is applied to bearing degradation assessment. Firstly, the signal is calculated by the algorithm of fast spectral coherence (Fast-SCoh). Then the frequency band with rich fault information was determined according to the mapping relationship between cycle frequency and carrier frequency, and integrate the frequency band to obtain the integrated envelope spectrum (IES) for bearing fault detection. Finally, the ratio of the maximum value in IES to the root mean square value of IES is calculated to obtain the IESPF proposed in this paper, and the degree of bearing fault is evaluated according to its value. The analysis of the experimental data and fatigue test data of artificial rolling bearing faults shows that the indexes proposed in this paper are sensitive to early faults and are suitable for early fault detection.

Key words： rolling element bearing fast spectral coherence integrated envelope spectrum；integrated envelope spectrum peak factor early fault detection

收稿日期: 2022-03-28 出版日期: 2023-05-28

引用本文:

杨新敏，郭瑜，田田，朱云贵. 基于集成包络谱的滚动轴承早期故障检测指标[J]. 振动与冲击, 2023, 42(10): 67-73.
YANG Xinmin，GUO Yu，TIAN Tian，ZHU Yungui. Early fault detection index of rolling bearing based on integrated envelope spectrum. JOURNAL OF VIBRATION AND SHOCK, 2023, 42(10): 67-73.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2023/V42/I10/67

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