一种感应电机机械故障建模方法及故障度辨识

微特电机 ›› 2020, Vol. 48 ›› Issue (10): 11-15.

一种感应电机机械故障建模方法及故障度辨识

黄家杰, 刘永强, 吴立泉, 梁兆文

华南理工大学电力学院,广州 510640

收稿日期:2020-06-22 出版日期:2020-10-28 发布日期:2020-10-22
作者简介:黄家杰(1995—),男,硕士研究生,研究方向为电机故障诊断及工业节能。

A Modeling Method for Mechanical Faults of Induction Motors and Severity Identification

HUANG Jia-jie, LIU Yong-qiang, WU Li-quang, LIANG Zhao-wen

School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China

Received:2020-06-22 Online:2020-10-28 Published:2020-10-22

摘要/Abstract

摘要： 建立一种专用于分析感应电机机械故障而产生的径向振动动态模型,并基于该模型提出一种机械故障严重程度的辨识方法。该模型考虑了电机结构参数、故障类型、电源电压和负荷水平的影响。机械故障严重程度的辨识方法可根据机械故障特征电流对电机故障程度作定量评估。实际数据验证该方法的有效性。

关键词: 感应电机, 数学建模, 机械故障, 参数辨识, 工业应用

Abstract: A dynamic model was established to analyze the radial vibration of induction motor, and a method to identify the severity of mechanical fault was proposed based on this model. The model taked into account the structural parameters of the motor, the type of mechanical fault, and the level of operating voltage and load. The severity identification method can be used to quantitatively evaluate the motor fault severity according to the fault-related harmonic. The validity of this method was verified by real data of an induction motor.

Key words: induction motors, mathematical modeling, mechanical fault, parameter identification, industry application

中图分类号:

黄家杰, 刘永强, 吴立泉, 梁兆文. 一种感应电机机械故障建模方法及故障度辨识[J]. 微特电机, 2020, 48(10): 11-15.

HUANG Jia-jie, LIU Yong-qiang, WU Li-quang, LIANG Zhao-wen. A Modeling Method for Mechanical Faults of Induction Motors and Severity Identification[J]. Small & Special Electrical Machines, 2020, 48(10): 11-15.

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