基于改进快速峭度图的轴承故障诊断方法研究

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摘要针对传统快速峭度图在轴承故障诊断中，通过计算滤波信号的包络峭度确定频带范围容易受到随机脉冲干扰的问题，本文提出一种基于改进快速峭度图的轴承故障诊断方法。首先运用自相关算法、改进谱幅值调制(improved spectral amplitude modulation ，ISAM)算法对包络信号进行处理，获取修正信号并以其频谱峭度衡量冲击响应的强度；然后以修正信号谱峭度代替传统快速峭度图中的包络峭度，得到可降低各频带随机干扰的改进峭度图；最后通过对3组信噪比不同的仿真信号、两组轴承实验信号的平方包络谱故障诊断情况进行对比分析，验证该方法的有效性和稳定性。通过与原始快速峭度图、功率谱峭度图、ISAM法三种方法对比，验证该方法的优越性。对比结果表明，本文所提方法可有效降低随机脉冲的影响，实现轴承故障特征频率的准确提取。

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	闫云雪
	许传诺
	程学珍
	李继明

关键词 ：轴承故障诊断, 改进快速峭度图, 修正信号谱峭度, ISAM算法

Abstract：Aiming at the problem that the frequency band range determined by calculating the envelope kurtosis of the filtered signal is easily disturbed by random pulses in the traditional Fast Kurtogram in bearing fault diagnosis, a bearing fault diagnosis method based on Improved Fast Kurtogram is proposed in this paper. Firstly, the envelope signal is processed by using autocorrelation algorithm and Improved Spectral Amplitude Modulation (ISAM) algorithm to obtain the modified signal, and the intensity of impact response is measured by its spectrum kurtosis. Then the envelope kurtosis in the traditional Fast Kurtogram is replaced by the modified signal spectrum kurtosis to obtain the Improved Fast Kurtogram which can reduce the random interference in each frequency band. Finally, the validity and stability of the proposed method are verified by comparing and analyzing the square envelope spectrum fault diagnosis of three groups of simulation signals with different Signal to Noise Ratio(SNR) and two groups of bearing experimental signals. And the superiority of this method is verified by comparing with the Original Fast Kurtogram, Power spectrum Kurtogram and ISAM. The comparison results show that the proposed method can effectively reduce the influence of random pulse and achieve accurate extraction of bearing fault feature frequency.

Key words： bearing fault diagnosis Improved Fast Kurtogram the modified signal spectrum kurtosis improved spectral amplitude modulation (ISAM) algorithm

收稿日期: 2022-06-14 出版日期: 2023-08-15

引用本文:

闫云雪，许传诺，程学珍，李继明. 基于改进快速峭度图的轴承故障诊断方法研究[J]. 振动与冲击, 2023, 42(15): 118-128.
YAN Yunxue, XU Chuannuo, CHENG Xuezhen, LI Jiming. Bearing fault diagnosis method based on improved fast kurtosis graph. JOURNAL OF VIBRATION AND SHOCK, 2023, 42(15): 118-128.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2023/V42/I15/118

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