Health Monitoring of Three Phase Induction Motor Using Current Signature Analysis and Deep Learning Algorithms

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DSU EE FYP

Unscheduled shutdowns due to abrupt machine failure cost industry heavy losses annually. Students of EE developed a prototype for health motioning of 3-phase induction motor using deep learning network for early detection and identification of faults. This project was sponsored by NCRA-CMS Lab (National Centre of Robotics and Automation-Condition Monitoring Systems lab). Their work was highly appreciated by NCRA research team and was published in 3rd International Conference on Robotics and Automation in Industry (ICRAI).

Supervisor: Dr. Imtiaz Hussain
Co-supervisor: Engr. Anas Bin Iftikhar
FYP Group:
1. Muhammad Sarfaraz Moiz
2. Shahzaib Shamim
3. Muhammad Abdullah
4. Hamdan Khan

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