基于循环谱相关的编码器信号滚动轴承故障检测

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振动与冲击 ›› 2023, Vol. 42 ›› Issue (16) : 202-208.

论文

田田，郭瑜，杨新敏，邹翔，陈鑫

作者信息 +

Fault detection of rolling bearings based on encoder signals via cyclic spectral correlation

TIAN Tian,GUO Yu,YANG Xinmin,ZOU Xiang,CHEN Xin

Author information +

文章历史 +

摘要

针对振动传感器安装受限的场合，结合编码器信号的优势，以编码器瞬时角速度(Instantaneous angular speed, IAS)为信号，提出一种基于编码器IAS信号诊断特征（Diagnostic Feature, DF）指标的循环谱相关(Cyclic Spectral Correlation, CSC)优化解调频带选取算法。首先利用向前差分法估计编码器信号获得轴承的IAS信号，并利用CSC得到IAS信号的双变量谱；然后按照初始子频带带宽为循环频率积分区间得到子频带改进包络谱(Improved Envelope Spectrum, IES)，并计算子频带IES的DF数值获得DF曲线；再通过评判DF数值合并子频带得到优化解调频带；最后利用包络分析提取滚动轴承故障特征阶次。通过仿真和轴承实测数据验证了本文所提方法的有效性。

Abstract

In view of the limited installation of vibration sensors, combined with the advantages of the encoder signal, a cyclic spectrum correlation (CSC) optimization demodulation frequency band selection algorithm based on the encoder instantaneous angular speed (IAS) signal diagnostic feature (DF) index is proposed with the encoder IAS as the signal. Firstly, the encoder signal is estimated by the forward difference method to obtain the IAS signal of the bearing, and the bivariate spectrum of the IAS signal is obtained by using the CSC; then the sub-band improved envelope spectrum (IES) is obtained according to the initial sub-band bandwidth as the cyclic frequency integration interval, and the sub-band is calculated. The DF value of the IES is obtained to obtain the DF curve; the optimal demodulation frequency band is obtained by combining the sub-bands by judging the DF value; finally, the fault characteristic order of the rolling bearing is extracted by the envelope analysis. The effectiveness of the method proposed in this paper is verified by simulation and bearing measured data.

导出引用

田田，郭瑜，杨新敏，邹翔，陈鑫. 基于循环谱相关的编码器信号滚动轴承故障检测[J]. 振动与冲击, 2023, 42(16): 202-208

TIAN Tian,GUO Yu,YANG Xinmin,ZOU Xiang,CHEN Xin. Fault detection of rolling bearings based on encoder signals via cyclic spectral correlation[J]. Journal of Vibration and Shock, 2023, 42(16): 202-208

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