Bearing fault diagnosis employing gabor and augmented architecture of convolutional neural network

• Main Authors: Waziralilah, N. F., Abu, A., Lim, M. H., Quen, L. K., Ahmed, E.
• Format: Article
• Language: English
• Published: Universiti Malaysia Pahang 2019
• Subjects: T Technology (General)
• Online Access: http://eprints.utm.my/id/eprint/89335/1/FathiahWaziralilah2019_BearingFaultDiagnosisEmployingGabor.pdf; http://eprints.utm.my/id/eprint/89335/; http://www.dx.doi.org/10.15282/jmes.13.3.2019.29.0455
• Institution: Universiti Teknologi Malaysia

The vast impact on machinery that is rooted by bearing degradation thus pinpointing bearing fault diagnosis as indubitably very crucial. The research is innovated to diagnose the fault in bearing by implementing deep learning approach which is Convolutional Neural Network (CNN) that has superiority...