Events9th International Electronic Conference on Sensors and Applications
Event submissions
Published
with-doi10.3390/ecsa-9-13339
This submission belongs to the session E. Sensor Data Analytics of the event 9th International Electronic Conference on Sensors and Applications
Published date
01 Nov, 2022
Academic Editor
author-avatarStefano Mariani
Citation
Mohammad Mohiuddin, Md. Saiful Islam, Rolling element bearing faults detection and classification technique using vibration signals, in Proceedings of 9th International Electronic Conference on Sensors and Applications, 1 November–15 November 2022, MDPI: Basel, Switzerland, doi: 10.3390/ecsa-9-13339
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Rolling element bearing faults detection and classification technique using vibration signals

Mohammad Mohiuddin 1
Md. Saiful Islam 2
1. Department of Electronics and Telecommunication Engineering, Chittagong University of Engineering and Technology (CUET), Chittagong 4349, Bangladesh
2. Chittagong University of Engineering and Technology (CUET)
Abstract
Keywords
Bearing fault diagnosis
DWT
Vibration signals
Gray-scale image
Convolutional Neural Network