A Scalo Gram-Based CNN Ensemble Method With Density-Aware SMOTE Oversampling for Improving Bearing Fault Diagnosis-Reference-Cited by-同舟云学术

A Scalo Gram-Based CNN Ensemble Method With Density-Aware SMOTE Oversampling for Improving Bearing Fault Diagnosis

Published:2023 Issue: Volume:11 Page:127783-127799
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Irfan Muhammad¹^ORCID,Mushtaq Zohaib²^ORCID,Khan Nabeel Ahmed³^ORCID,Mursal Salim Nasar Faraj¹,Rahman Saifur¹^ORCID,Magzoub Muawia Abdelkafi⁴^ORCID,Latif Muhammad Armghan⁵,Althobiani Faisal⁶,Khan Imran²^ORCID,Abbas Ghulam⁷^ORCID

Affiliation:

1. Electrical Engineering Department, College of Engineering, Najran University, Najran, Saudi Arabia

2. Department of Electrical, Electronics and Computer Systems, College of Engineering and Technology, University of Sargodha, Sargodha, Pakistan

3. Department of Electrical Engineering, Riphah International University, Islamabad, Pakistan

4. Electrical and Electronics Engineering Department, Sudan Technological University, Omdurman, Sudan

5. Department of Computer and Information System, Cleveland State University, Cleveland, OH, USA

6. Faculty of Maritime Studies, King Abdulaziz University, Jeddah, Saudi Arabia

7. Department of Electrical Engineering, The University of Lahore, Lahore, Pakistan

Funder

Deanship of Scientific Research, Najran University, Saudi Arabia, through the Distinguished Research Groups

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10315006.pdf?arnumber=10315006

Reference37 articles.

1. Diagnosis of Rolling Bearing Based on Classification for High Dimensional Unbalanced Data

2. Very deep convolutional networks for large-scale image recognition;simonyan;arXiv 1409 1556,2014

3. Deep Learning-Based Intelligent Fault Diagnosis Methods Toward Rotating Machinery

4. Deep Residual Learning for Image Recognition

5. Research on classification of imbalanced data set based on TMDSMOTE algorithm;sun;The Frontiers of Society Science and Technology,2020

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Novel glassbox based explainable boosting machine for fault detection in electrical power transmission system;PLOS ONE;2024-08-28

2. A novel fault diagnosis method for imbalanced datasets based on MCNN‐Transformer model in industrial processes;International Journal of Adaptive Control and Signal Processing;2024-04-15

3. Non-stationary signal analysis utilizing VMD and EMD algorithm for multiple fault classification for industrial applications;Journal of Intelligent & Fuzzy Systems;2024-04-08

4. Artificial intelligence framework for heart disease classification from audio signals;Scientific Reports;2024-02-07