Automated bearing fault diagnosis scheme using 2D representation of wavelet packet transform and deep convolutional neural network

Author:

Islam M.M. Manjurul,Kim Jong-Myon

Funder

Korea Institute of Energy Technology Evaluation and Planning

Ministry of Trade, Industry & Energy (MOTIE) of the Republic of Korea

Ministry of Science, ICT and Future Planning

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference29 articles.

1. High-performance and energy-efficient fault diagnosis using effective envelope analysis and denoising on a general-purpose graphics processing unit;Kang;IEEE Trans. Power Electron.,2015

2. Reliable multiple combined fault diagnosis of bearings using heterogeneous feature models and multiclass support vector Machines;Manjurul Islam;Reliab. Eng. Syst. Saf.,2018

3. A hybrid feature selection scheme for reducing diagnostic performance deterioration caused by outliers in data-driven diagnostics;Kang;Ieee Trans. Ind. Electron.,2016

4. A hybrid feature selection scheme based on local compactness and global separability for improving roller bearing diagnostic performance;Islam,2017

5. From model, signal to knowledge: a data-driven perspective of fault detection and diagnosis;Dai;IEEE Trans. Industr. Inform.,2013

Cited by 158 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

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3