Analysis of multiple faults in induction motor using machine learning algorithms β Project Overview
| Abstract |
This M.Tech Electrical Engineering topic focuses on Analysis of multiple faults in induction motor using machine learning algorithms. It belongs to the Induction Motor Control area within Electrical Machines & Drives. The work is suitable for research topic selection, synopsis preparation, literature review, machine-drive modelling, MATLAB/Simulink or Python-based analysis, controller design, fault-diagnosis experiments, sensorless estimation studies, result analysis, and dissertation documentation. Students can use this 2023-onward research reference as the base paper and then customize the implementation using suitable motor parameters, inverter model, control strategy, signal-processing method, machine-learning model, and performance metrics. |
| Reference Paper |
Analysis of multiple faults in induction motor using machine learning algorithms |
| Year |
2025 |
| Domain |
Electrical Machines & Drives |
| Sub-Domain |
Induction Motor Control |
| PDF / Source Link |
Open Paper / PDF |
| Get Help |
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This resource helps students quickly understand the project idea, reference paper direction, and next step for implementation, synopsis, report writing, or academic documentation support.