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In the present article, a novel numerical simulation method based on electrical and mechanical mathematical models is proposed to investigate the dynamic characteristics of current signal variations caused by unhealthy conditions of the load-end rolling bearings in asynchronous motors. The developed simulation model aims to study the impact of bearing faults on the motor’s performance by integrating the fault characteristics of rolling bearings with a simplified rotor dynamics model. This approach allows for a comprehensive analysis of how these faults affect the motor’s operational behavior. The simulation results reveal that, upon the occurrence of a bearing fault, significant and abnormal changes are observed in multiple parameters of the motor, including the current waveform, frequency spectrum, and envelope spectrum. These changes suggest that the fault in the load-end bearing induces a modulation effect on the motor’s current signal, which can be used as a diagnostic feature for fault detection. These changes indicate that faults in the load end bearings will have a modulation effect on the current signal of the motor, verifying the accuracy of the numerical simulation model.

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Numerical Simulation Modeling and Current Analysis of Load-End Bearing Faults in Asynchronous Motors

  • 会议论文

  • 发表日期：

    2025年

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  • Xiaoyun Gong,
  • Bangshuai Li,
  • Shikang Zhang,
  • Yage Wei,
  • Shuangqiang Luo

摘要

In the present article, a novel numerical simulation method based on electrical and mechanical mathematical models is proposed to investigate the dynamic characteristics of current signal variations caused by unhealthy conditions of the load-end rolling bearings in asynchronous motors. The developed simulation model aims to study the impact of bearing faults on the motor’s performance by integrating the fault characteristics of rolling bearings with a simplified rotor dynamics model. This approach allows for a comprehensive analysis of how these faults affect the motor’s operational behavior. The simulation results reveal that, upon the occurrence of a bearing fault, significant and abnormal changes are observed in multiple parameters of the motor, including the current waveform, frequency spectrum, and envelope spectrum. These changes suggest that the fault in the load-end bearing induces a modulation effect on the motor’s current signal, which can be used as a diagnostic feature for fault detection. These changes indicate that faults in the load end bearings will have a modulation effect on the current signal of the motor, verifying the accuracy of the numerical simulation model.