Health Monitoring of Induction Motor Using Electrical Signature Analysis

被引：1

作者：

ABDUL Rauf ^{[1
]}

MUHAMMAD Usman ^{[2
]}

AHMAD Butt ^{[2
]}

赵萍 ^{[1
]}

机构：

[1] College of Information Science and Technology, Donghua University

[2] Department of Electrical Engineering and Technology, University of Engineering and Technology

来源：

Journal of Donghua University(English Edition) | 2022年 / 39卷 / 03期

关键词：

D O I：

10.19884/j.1672-5220.202104001

中图分类号：

TM346 [感应电机];

学科分类号：

摘要：

Induction motors have been widely used across industry, particularly with smaller loads and fixed speed services. Existing works focus on fault detection of induction motors without considering the shutdown time and production in industry. Therefore, this work aims to monitor the health conditions of the induction motor continuously through electrical signature analysis(ESA). The proposed technique is capable of predicting different kinds of faults, i.e., rotor faults, stator phase imbalances, and supply cable faults at early stages. Moreover, ESA in real time is implemented. Thereafter, these current spectra were analyzed in frequency domain and compared with healthy current spectra. Performance evaluation is implemented by observing these spectra under different faulty conditions. A comparative study is made and analyzed through MATLAB simulations.

引用

页码：265 / 271

页数：7

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