CLASSIFICATION OF BEARING FAULTS USING EXTREME LEARNING MACHINE ALGORITHMS

• Main Author: TEH, CHOON KEONG
• Format: Final Year Project
• Language: English
• Published: Universiti Teknologi PETRONAS 2017
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://utpedia.utp.edu.my/22980/1/FYP%20Dissertation.pdf; http://utpedia.utp.edu.my/22980/

Roller element bearing fault diagnosis is crucial for industry to maintain machine in good condition so that there is no delay of work due to machine breaks down. This project implements the bearing fault diagnosis that classifies the bearing data into four classes which are healthy bearing, inne...