An improved deep convolutional neural network with multi-scale information for bearing fault diagnosis

Wenyi Huang; Junsheng Cheng; Yu Yang; Gaoyuan Guo

doi:10.1016/j.neucom.2019.05.052

ScienceGate Book Chapters

JOURNAL ARTICLE

An improved deep convolutional neural network with multi-scale information for bearing fault diagnosis

Wenyi Huang Junsheng Cheng Yu Yang Gaoyuan Guo

Year: 2019 Journal: Neurocomputing Vol: 359 Pages: 77-92 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2019.05.052

Get Full-Text PDF Get Analytical Report

Keywords:

Convolutional neural network Computer science Pattern recognition (psychology) Artificial intelligence Pooling Deep learning Feature (linguistics) SIGNAL (programming language)

Metrics

316

Cited By

20.49

FWCI (Field Weighted Citation Impact)

Refs

1.00

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

Gear and Bearing Dynamics Analysis

Physical Sciences → Engineering → Mechanical Engineering

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

An improved deep convolutional neural network with multi-scale information for bearing fault diagnosis

Metrics

Citation History

Topics

Related Documents

An improved multi-scale branching convolutional neural network for rolling bearing fault diagnosis

Bearing Fault Diagnosis Based on Shallow Multi-Scale Convolutional Neural Network with Attention

Bearing Fault Diagnosis Method Based On Multi-Scale Convolutional Neural Network With Integrated Multi-Attention

A Deep Residual Convolutional Neural Network based Bearing Fault Diagnosis with Multi-Sensor Data

Fault diagnosis method of rolling bearing based on improved deep convolutional neural network