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.

ABDUL Rauf;MUHAMMAD Usman;AHMAD Butt;ZHAO Ping

College of Information Science and Technology,Donghua University,Shanghai 201620,China;Department of Electrical Engineering and Technology,University of Engineering and Technology,Lahore 54890,Pakistan

东华大学学报（英文版）

[1]ABDUL Rauf;MUHAMMAD Usman;AHMAD Butt;ZHAO Ping-.Health Monitoring of Induction Motor Using Electrical Signature Analysis)[J].东华大学学报（英文版）,2022(03):265-271

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