EDRS在滚动轴承振动信号盲源分离中的应用

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振动与冲击 ›› 2019, Vol. 38 ›› Issue (20) : 106-111.

论文

刘鲲鹏，夏均忠，白云川，吕麒鹏，郑建波

作者信息 +

Application of EDRS in blind source separation of rolling element bearing vibration signal

LIU Kunpeng，XIA Junzhong，BAI Yunchuan，L Qipeng，ZHENG Jianbo

Author information +

文章历史 +

摘要

确定性随机分离（DRS）是经典的滚动轴承振动信号盲源分离方法，但其仅适用于处理稳速工况的信号，无法有效分离变转速下轴承信号，且该方法未考虑信号幅值波动的影响，鲁棒性较差，为此提出扩展确定性随机分离（EDRS）方法解决上述问题。应用角域重采样技术将时域变转速信号转化为角域稳态信号，减少转速变化的影响；借助Z计分模型对角域稳态信号进行归一化处理，降低信号幅值波动；从归一化处理后的信号中提取确定性成分，同时得到振动信号随机成分。仿真分析和轴承故障试验证明EDRS能够实现变转速下滚动轴承振动信号盲源分离，从随机成分中能够有效提取轴承故障特征。

Abstract

Deterministic random separation (DRS) is a classic blind source separation method of bearing signal, but it is only fit to deal with the bearing signal in steady speed while fail at completing the signal separation under variable speed condition.Meanwhile, it has less robustness because the signal amplitude value fluctuations was not considered in DRS, a method named extended deterministic random separation (EDRS) was proposed to solve the above problems.The angular domain resampling technique was applied to transform the time-domain variable-speed signal into the steady-state signal in the angular domain to reduce the influence of the rotational speed variation; the Z-scoring model was used to normalize the steady-state signal in the angular domain to decrease the signal amplitude fluctuation.After the signal was normalized, the deterministic components were extracted and the random components of the vibration signal were obtained.Simulation analysis and bearing fault test show that blind source separation of bearing signals in variable speed can be completed by EDRS, and the fault features can be extracted effectively from the random components.

导出引用

刘鲲鹏，夏均忠，白云川，吕麒鹏，郑建波. EDRS在滚动轴承振动信号盲源分离中的应用[J]. 振动与冲击, 2019, 38(20): 106-111

LIU Kunpeng，XIA Junzhong，BAI Yunchuan，L Qipeng，ZHENG Jianbo. Application of EDRS in blind source separation of rolling element bearing vibration signal[J]. Journal of Vibration and Shock, 2019, 38(20): 106-111

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