Abstract:
The content of the paper is outlined as follows: A background to induction motors and the most common
faults are described in the first part together with the laboratory set up for the acquisition of the real-time
induction motor data. The second part presents the Neural Network training and validation implemented
within the MATLAB software environment with a selected portion of the experimental results. Part three
presents the complete system implementation with the Real-Time Digital Simulator (RTDS) and RTAC
with the analogue GOOSE message results and binary GOOSE to the motor protection IED. Part four
presents the real-time implementation of the neural network on the Real-Time Automation Controller
(RTAC) hardware platform and Part five presents the conclusion to this work.
C. Kriger, R. Tzoneva. P. Barendse, A. Apostolov, Presented at PAC World Global Conference 2021, Virtual Event, August 2021
