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Identification of eccentricity related-faults characteristic frequencies in induction motors using a programmable power source

机译:使用可编程电源识别感应电动机中的偏心故障相关特征频率

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With the aim of developing an expert system for condition monitoring of cage rotor induction motors fed by power inverters, laboratory tests have been performed on a motor with artificially created eccentricity in order to identify as many fault signatures as possible. The technique used to detect faults is Motor Current Signature Analysis and in this paper it is analyzed if the spectra around the time harmonics 5,roduced by an inverter are suitable for condition monitoring. monitoring. But, taking into account that the harmonic content of the voltage waveform and the amplitude of the harmonics depend on the voltage supply, in order to establish diagnosis criteria independent of the voltage supply, a programmable power source has been used as a motor supply. The results are discussed and some guidelines for condition monitoring are suggested.
机译:为了开发一种用于监视由功率逆变器供电的笼型转子感应电动机的状态的专家系统,已对具有人工创建的偏心率的电动机进行了实验室测试,以便识别出尽可能多的故障特征。用于检测故障的技术是“电动机电流签名分析”,本文将分析由逆变器产生的时间谐波5周围的频谱是否适合状态监测。监控。但是,考虑到电压波形的谐波含量和谐波幅度取决于电源电压,为了建立独立于电源电压的诊断标准,已将可编程电源用作电动机电源。对结果进行了讨论,并提出了一些用于状态监视的准则。

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