One Dimensional Convolutional Neural Networks Using Sparse Wavelet Decomposition for Bearing Fault Diagnosis

One Dimensional Convolutional Neural Networks Using Sparse Wavelet Decomposition for Bearing Fault Diagnosis

This paper proposes a novel algorithm for bearing fault diagnosis using sparse wavelet decomposition for feature extraction combined with a multi-scale one dimensional convolutional neural network (1-D CNN). The proposed algorithm consists of three stages. The first stage determines bearing fault fr...

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Bibliographic Details
Main Authors: Xiaofan Liu, Jason Centeno, Juan Alvarado, Lizhe Tan
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
1-D CNNs
sparse wavelet decomposition
multi-scale neural network
bearing fault diagnosis
Online Access:https://ieeexplore.ieee.org/document/9858121/

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