基于广义似然比指标引导变分模态分解的港口起重机轴承故障诊断方法

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振动与冲击 ›› 2023, Vol. 42 ›› Issue (22) : 264-272.

论文

冯文宗，张氢，张建群，孙远韬，秦仙蓉

作者信息 +

Generalized likelihood ratio guided VMD method for the fault diagnosis of harbor crane bearings

FENG Wenzong, ZHANG Qing, ZHANG Jianqun, SUN Yuantao, QIN Xianrong

Author information +

文章历史 +

摘要

针对港口起重机轴承早期微弱故障特征易被强噪声淹没导致难以提取问题，结合广义似然比(GLR)和变分模态分解算法(VMD)的优势，提出了一种基于GLR引导VMD的算法。同时，针对传统包络谱检测识别故障需要依靠专业知识识别的情况，根据上述算法提出了一种基于包络谱的故障指标故障频率比(RFF)。利用仿真实验信号和实际数据对所提出方法进行验证，并且与其他VMD优化方法进行比较，研究结果表明：所提出算法能够准确提取高噪声强干扰下信号下滚动轴承的故障特征，所提出故障指标RFF能够实现微弱故障诊断。

Abstract

Aiming at the problem that the early weak fault features of harbor crane bearings are easily submerged by strong noise, an algorithm based on generalized likelihood ratio (GLR) and variational modal decomposition (VMD) is proposed by combining the advantages of GLR and VMD. A fault index ratio of fault frequency (RFF) based on envelope spectrum is proposed according to the above algorithm because the traditional envelope spectrum detection and fault identification depends on professional knowledge. The proposed method is validated by simulation experiment signals and real data, and compared with other VMD optimization methods. The results show that the proposed algorithm can accurately extract the fault features of rolling bearings under high noise and strong interference signals, and the proposed fault index RFF can realize weak fault diagnosis.

导出引用

冯文宗，张氢，张建群，孙远韬，秦仙蓉. 基于广义似然比指标引导变分模态分解的港口起重机轴承故障诊断方法[J]. 振动与冲击, 2023, 42(22): 264-272

FENG Wenzong, ZHANG Qing, ZHANG Jianqun, SUN Yuantao, QIN Xianrong. Generalized likelihood ratio guided VMD method for the fault diagnosis of harbor crane bearings[J]. Journal of Vibration and Shock, 2023, 42(22): 264-272

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