Bearing fault diagnosis employing gabor and augmented architecture of convolutional neural network
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...
Main Authors: | Waziralilah, N. F. (Author), Abu, A. (Author), Lim, M. H. (Author), Quen, L. K. (Author), Ahmed, E. (Author) |
---|---|
Format: | Article |
Language: | English |
Published: |
Universiti Malaysia Pahang,
2019.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
Bearing fault diagnosis employing gabor and augmented architecture of convolutional neural network
by: Waziralilah, N. F., et al.
Published: (2019) -
A Review on Convolutional Neural Network in Bearing Fault Diagnosis
by: Waziralilah N. Fathiah, et al.
Published: (2019-01-01) -
Modulated Gabor filter based deep convolutional network for electrical motor bearing fault classification and diagnosis
by: Shahabodin Afrasiabi, et al.
Published: (2021-03-01) -
Calcification detection using convolutional neural network architectures in intravascular ultrasound images
by: Sofian, H., et al.
Published: (2019) -
Bearing Fault Diagnosis System Based on Convolutional Neural Network
by: Guo, Bo-Xain, et al.
Published: (2019)