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A Rotor Fault Detection System Based on Nonlinear and Dynamic Response

  • Jiawei Huang,
  • Baoqing Huang,
  • Jiayu Huang,
  • Yixing Liang

摘要

This research proposes a detection system that utilizes electromagnetic induction to accurately diagnose rotor faults in motor and quality while minimizing noise interference in production and maintenance environments. The system is designed to improve the efficiency of factory inspection lines and prevent catastrophic motor failure accidents, thereby ensuring personal safety. The system employs a time-varying magnetic field to excite the rotor under test, which generates an electromagnetic response associated with rotor failure or quality issues. The response is then converted into an acoustic signal processing for fault detection. This approach offers a comprehensive solution for accurately detecting rotor faults and enhancing the overall quality of motor production . Additionally, the system can be utilized in various industrial applications, including machinery manufacturing, power generation, and transportation. Overall, the proposed system offers a reliable and efficient solution for fault detection, which is crucial for ensuring safe and reliable motor operation in various industrial settings.