基于虚拟仪器和MCSA技术的电机转子断条故障诊断的研究  

Research on Broken Bar Fault Diagnosis of Motor Rotor Based on Virtual Instrument and MCSA Technology

作　　者：曹庆皎[1] 王静爽[1] 王奕卓 CAO Qingjiao;WANG Jingshuang;WANG Yizhuo

机构地区：[1]河北工程大学

出　　处：《科技创新与应用》2019年第29期5-6,10,共3页Technology Innovation and Application

摘　　要：本设计利用LabVIEW可视化技术,通过ARM芯片STM32103对霍尔传感器采集的数据进行处理,实现了对电机转子断条故障的诊断,开发利用电流频谱诊断分析技术(MCSA),测试电机负载运行时的电流信号,利用傅里叶快速变换分析电流时域信号转换的频谱,以判断电机运行过程中出现的转子断条故障。In this design, the data collected by Hall sensor is processed by ARM chip STM32103 by using LabVIEW visualization technology, the broken bar fault diagnosis of motor rotor is realized, and the motor current spectrum analysis (MCSA) is developed. The current signal of the motor load is tested, and the frequency spectrum of the current time domain signal conversion is analyzed by Fourier transform in order to judge the rotor bar breaking fault in the process of motor operation.

关 键 词：电流频谱分析 故障诊断 虚拟仪器 定子电流 

分 类 号：TM307[电气工程—电机]