节点文献
基于电信号特征分析的电机故障诊断技术
Motor Faults Diagnosis Based on Electrical Signature Analysis
【摘要】 介绍了电机故障诊断技术平台的组成,分析了电机常见故障下电信号的特征。利用宜昌和景洪工厂两台电机进行了实际对比测试,宜昌工厂电机定子电流特征频率在49.2Hz时表现出峰值-36.08dB,在50.8Hz时表现峰值则为-37.23dB,表明电机存在转子断条故障;景洪工厂电机在转子特征频率为113.51Hz时,出现峰值-58.47dB,表明电机存在静态偏心故障。经电机现场抽芯检查,验证了电机故障快速诊断平台给出的电机健康状态评估结果,证实了基于电信号特征分析的电机故障诊断技术的准确性。
【Abstract】 The monitoring platform for motor fault diagnosis is established, and then the characteristics of electrical signals of different motor faults are analyzed. Two motors in plants of Yichang and Jinghong were used for comparative tests. The former motor in Yichang showed the frequency peaks of -36.08 dB at 49.2 Hz and of -37.23 dB at 50.8 Hz, showing that the motor has a broken rotor bar fault; the latter motor in Jinghong has a rotor signature when the frequency peak appears of -58.47 dB at 113.51 Hz, showing that the motor has a static eccentricity fault. With the rotor pulling out at the time, the evaluation results of the motor status given by the motor fault diagnosis platform is verified, and confirms the accuracy of the motor fault diagnosis technology based on the analysis of electrical signal analysis.
【Key words】 motor faults; frequency spectrum; air-gap eccentricity; doubling frequency analysis;
- 【文献出处】 水泥技术 ,Cement Technology , 编辑部邮箱 ,2022年01期
- 【分类号】TM307
- 【下载频次】504