Fault Detection of Bearing in Motor Using Machine Learning



Ooi, Teik Yang (2019) Fault Detection of Bearing in Motor Using Machine Learning. Final Year Project (Bachelor), Tunku Abdul Rahman University College.

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Nowadays, many industry are strongly rely on induction motor. This is because its reliable structure, has high power to weight ratio, high dependability and simple outline. Therefore, fault detection technology has becoming more and more important as fault detection technology will help industrial to save a lot of money to repair/buy a machine and also time. In this paper, the fault detection of bearing in induction motor will be developed. By monitoring the output signal from an induction motor, fault detection can be done followed by using artificial intelligent technique to analyze the percentage of the faults. Hence, this project will develop a more effective, efficient of fault detection system after studies and investigates the method that used by other researcher.

Item Type: Final Year Project
Subjects: Technology > Electrical engineering. Electronics engineering
Faculties: Faculty of Engineering > Bachelor of Engineering (Honours) Electrical and Electronics
Depositing User: Library Staff
Date Deposited: 07 Feb 2020 09:23
Last Modified: 22 Mar 2022 05:56
URI: https://eprints.tarc.edu.my/id/eprint/13066