基于笼型电动机转子断条故障的诊断分析

Diagnosis and Analysis of Broken Rotor Bar Fault of Squirrel Cage Three-phase Induction Motor

为了解决目前已有的故障诊断方法只能诊断出电机是否发生转子断条故障而不能诊断出转子断条数目的问题,对电机转子断条故障进行了仿真和断条数目诊断方法的研究。首先对Y2-132M-4型的鼠笼式三相异步电机进行了建模,利用建立的模型对发生不同断条数的电机故障进行了仿真研究。然后,提出了基于机器学习的对转子断条故障的断条数目进行诊断的算法。实验结果表明,所提出的故障诊断分类方法实现了电机不同数目的转子断条故障的智能诊断分类,且诊断分类准确率达100%。

The existing fault diagnosis methods can only diagnose whether a broken rotor bar fault occurs but cannot diagnose the number of the broken rotor bars.In order to solve this problem,this paper researched the simulation and diagnosis methods of the broken rotor bar fault.Firstly,the squirrel cage three-phase induction motor of Y2-132M-4 was modeled in this paper,and the faults with different number of broken rotor bars were simulated for motors by using the established model.Then,a diagnosing algorithm based on machine learning was proposed to diagnose the number of broken rotor bars for the broken rotor bar faults.The experimental results show that the proposed fault diagnosis and classification approach realizes the intelligent diagnosis and classification of different number of broken rotor bars for motor,and the diagnosis accuracy reaches 100%.