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


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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