基于DSP和LabVIEW的电动机转子断条故障诊断

摘要

为了实现对鼠笼式异步电动机转子断条故障的实时诊断,设计了一套以TMS320F2812和LabVIEW为核心的转子断条故障诊断装置.该装置以TMS320F2812为主控芯片,实现对异步电动机定子侧电流信号的采集,通过DSP的串口模块将采集到的信号传送到由LabVIEW构建的上位机信号处理平台.针对定子侧电流信号中工频分量对断条故障特征分量的干扰较大,严重地影响断条分量的识别,LabVIEW处理平台采用自适应陷波器算法对工频信号进行陷波处理,在FFT频谱上实现对断务故障特征分量的识别.实验证明,该装置能够实现对断条故障进行实时监测,并能够在FFT频谱上对断条故障特征分量进行识别.%In order to achieve the fault diagnosis of the broken rotor bar of the squirrel-cage induction motor in real-time,This paper designed the fault diagnosis system of the broken rotor based on DSP and LabVIEW. The fault diagnosis system was designed for the stator current signal acquisition by using the TMS320F2812 as the controller. The signal can be transmitted to the signal processing platform of LabVIEW by serial communications module. For the interferences from the power frequency component to the rotor broken-bar fault feature component of the stator current signal,that seriously affect the indenlification of the rotor broken-bar component. The signal processing platform of LabVIEW adopted adaptive notch filter algorithm to counteract interference of the power frequency,so that can achieve the recognition of the rotor broken-bar fault characteristic component in the FFT spectrum. This equipment can realize the real-time monitor of rotor broken-bar fault diagnosis and achieve the precise identification to the frequency component of the broken rotor bar in the FFT spectrum.