基于变频器供电侧电流Hilbert解调制方法的空载电机转子断条故障诊断

发布时间：2018-06-18 05:59

本文选题：鼠笼电机 + 希尔伯特变换　；参考：《仪器仪表学报》2014年01期

【摘要】：变频器供电侧电流比电机定子电流易于获取且较少受到噪声干扰。然而,由于基频频谱泄露的影响,基于变频器供电侧电流的电机电流信号特征分析方法无法诊断低负载或空载运行条件下的鼠笼电机转子断条故障。首先基于转移函数和调制理论建立了变频器供电侧电流谐波分析简化模型。在此基础上,提出了基于Hilbert解调制的空载电机转子断条故障诊断方法。该方法的核心是采用Hilbert变换提取电机稳态运行时的变频器供电侧电流信号包络线、构造基于包络线平方的解析信号并对该信号作FFT频谱分析。在3 kW电机实验台上对所提出的方法进行实验验证,实验结果表明了该方法的有效性。
[Abstract]:The current on the power side of the inverter is easier to obtain than the stator current of the motor and is less disturbed by noise. However, because of the leakage of fundamental frequency spectrum, the characteristic analysis method of motor current signal based on the current of inverter power supply side can not diagnose the fault of rotor broken bar of squirrel cage motor under low load or no load operation condition. Based on the transfer function and modulation theory, a simplified current harmonic analysis model is established. On this basis, a fault diagnosis method for rotor bar breakage of no-load motor based on Hilbert's solution modulation is proposed. The core of this method is to use Hilbert transform to extract the envelope of the current signal in the power supply side of the inverter while the motor is in steady operation. The analytical signal based on the square of the envelope line is constructed and the FFT spectrum analysis of the signal is carried out. The proposed method is tested on a 3kW motor test bench and the experimental results show that the proposed method is effective.
【作者单位】：中国科学院沈阳自动化研究所;中国科学院大学;中国科学院网络化控制系统重点实验室;辽宁科技大学;
【基金】：中国科学院重点部署项目(KGZD-EW-302)资助
【分类号】：TM307.1

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