Bearing fault diagnosis based on wavelet sparse convolutional network and acoustic emission compression signals

Bearing fault diagnosis based on wavelet sparse convolutional network and acoustic emission compression signals

A bearing is an important and easily damaged component of mechanical equipment. For early fault diagnosis of ball bearings, acoustic emission signals are more sensitive and less affected by mechanical background noise. To cope with the large amount of data brought by the high sampling frequency and...

Full description

Bibliographic Details
Main Authors: Jinyi Tai, Chang Liu, Xing Wu, Jianwei Yang
Format: Article
Language:English
Published: AIMS Press 2022-06-01
Series:Mathematical Biosciences and Engineering
Subjects:
acoustic emission signal
compressed sensing
wavelet transform
convolution kernel
energy pooling layer
sparse feature
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2022377?viewType=HTML

Internet

https://www.aimspress.com/article/doi/10.3934/mbe.2022377?viewType=HTML

Similar Items