Using AI for Power System Fault Detection and Classification.

Overview

Learn how engineers can model the IEEE 123 Node Test Feeder model in a simulation environment to perform fault finding that may occur and fault classification of the model. This is done by running multiple simulations with fault sequences injected into the power system modelled in Simulink. We will go through how to generate synthetic data by running simulations of the power system, how to extract the data, and put together a dataset which will be used to train a Predictive Maintenance model meant to predict where the fault occurred in the power system and the specifics of the type of fault that occurred.

Key Highlights of the Webinar

• Create an IEEE bus system using Simscape Electrical.
• Inject faults into a bus system and view results.
• Build Predictive Maintenance models from fault data using either the Classification Learner App in MATLAB or programmatically.
• Learn how to properly choose the best model based on validation accuracies, testscores, and other factors.

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