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41 / 2023-09-28 12:30:40
Asynchronous Motor Fault Diagnosis Output Based on VMD-XGBoost
Asynchronous Motor ; Fault Diagnosis ;VMD; XGBoost ; Approximate Entropy
7.Electric Machine Design and Control > (3)、Other topics in electric machine
Final Paper
Ming Tang / ShangHai Dianji University
Aiyuan Wang / Shanghai Dianji University
ZhenTian Zhu / Shanghai Dianji University
针对异步电机的常见故障诊断，提出了VMD（变分模态分解）和XGBoost（极限梯度增强算法）模型用于异步电机的故障诊断输出。通过电磁场仿真获得异步电动机的定子电流。然后，对A、B、C相的定子电流进行VMD分解，提取故障的近似熵作为故障特征;最后，将其输入到XGBoost模型中进行电机故障诊断。实验结果表明，VMD与XGBoost相结合的诊断方法可以实现故障类型诊断输出，具有重要的现实意义。

 
Important Date

  • Conference Date

    Dec 08

    2023

    to

    Dec 10

    2023

  • Nov 01 2023

    Draft paper submission deadline

  • Dec 10 2023

    Registration deadline

Sponsored By
IEEE IAS
Organized By
Southwest Jiaotong University (SWJTU)
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