三相感应电动机状态监测

Rakeshkumar A. Patel, B. Bhalja, Md. Aftab Alam
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引用次数: 1

摘要

异步电动机定子电流和振动的分析在科研和工业中一直被用于状态监测目的。本文介绍了基于电流和振动分析的三相异步电动机状态监测的硬件结果,提出了一种基于频谱分析的新型诊断方法。通过数字存储示波器和振动分析仪分别采集电流和振动数据。利用采集到的数据,通过MATLAB编程得到电流和振动的频率分量。然后,将电流和振动的最主要频率分量集与健康电机的频率分量集进行比较,以确定健康/故障状态。用于分析的是一台3hp, 2.2 KW的三相感应电动机。主要故障有定子匝间短、转子断条和轴承缺陷三种。结果表明,该方法在预测转子和轴承故障方面非常成功,而在检测定子匝间故障方面不太成功。
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Condition Monitoring of Three-Phase Induction Motor
Analysis of stator current and vibration of induction motor has long been used, in researches as well as industries, for the condition monitoring purpose. This paper presents the hardware results of three phase induction motor condition monitoring by current and vibration analysis, presenting one novel diagnosis method while analyzing the frequency spectra. Here current and vibration data are collected with the help of Digital Storage Oscilloscope and Vibration Analyzer respectively. These collected data are used to obtain frequency components of current and vibration with the help of MATLAB program. Later, the set of the most dominating frequency components of current and vibration are compared with that of healthy motor in order to establish the healthy/faulty condition. A 3 HP, 2.2 KW, three-phase induction motor has been used for analysis purpose. Three types of major faults, namely, stator inter turn short, rotor broken bar and bearing defect are considered. The proposed method proves to be quite successful in predicting rotor and bearing faults, while not being so successful in detecting stator inter-turn faults.
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