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Fault detection and protection of three-phase induction motor using Eigen based analysis
Author(s)
Date Issued
October 24, 2016
Type
Conference Paper
Abstract
This research presents the design and the implementation of a system for detecting and preventing external faults of 3 phase induction motor using Eigen based analysis, in order to prevent faults in various pattern and reduce the complexity of data processing. The 6 inputs are composed of three-phase voltage and current signals for the induction motor. These inputs will be calculated for the root mean square values before the Eigen based analysis and Euclidean Distance calculation. These values are comparable to which of the normal condition of the induction motor, in order to identify the faults in 6 conditions of Single Phase, Over Voltage, Under Voltage, Over Load, Unbalance Voltage and Locked Rotor. The software is designed by MATLAB program connecting with the DAQ card for controlling the 6 signal inputs receiving and sending an output signal to control power supply relay to the induction motor. After the experiment under the various loading conditions was conducted, the system can detect and prevent the external faults in 6 conditions satisfactorily.
Citation
Aip Conference Proceedings, 1775, 2016