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An Open-Circuit Fault Diagnosis System Based on Neural Networks for Inverter-Driven Motor Systems

This M.Tech Electrical Engineering topic focuses on An Open-Circuit Fault Diagnosis System Based on Neural Networks for Inverter-Driven Motor Systems. It belongs to the Fault Diagnosis in Machines area within Electrical Machines…

Abstract This M.Tech Electrical Engineering topic focuses on An Open-Circuit Fault Diagnosis System Based on Neural Networks for Inverter-Driven Motor Systems. It belongs to the Fault Diagnosis in Machines 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 An Open-Circuit Fault Diagnosis System Based on Neural Networks for Inverter-Driven Motor Systems
Year 2024
Domain Electrical Machines & Drives
Sub-Domain Fault Diagnosis in Machines
PDF / Source Link Open Paper / PDF
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