Bearing fault diagnosis using multiclass support vector machines with binary particle swarm optimization and regularized Fisher’s criterion-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Bearing fault diagnosis using multiclass support vector machines with binary particle swarm optimization and regularized Fisher’s criterion

Published:2014-11-01 Issue:2 Volume:28 Page:405-417
ISSN:0956-5515
Container-title:Journal of Intelligent Manufacturing
language:en
Short-container-title:J Intell Manuf

Author:

Ziani Ridha,Felkaoui Ahmed,Zegadi Rabah

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Software

Link

http://link.springer.com/content/pdf/10.1007/s10845-014-0987-3.pdf

Reference52 articles.

1. Burges, C. A. (1998). Tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2, 955–974.

2. Chen, Y., Miao, D., & Wang, R. (2010). A rough set approach to feature selection based on ant colony optimization. Pattern Recognition Letters, 31, 226–233.

3. Du, S., Lv, J., & Xi, L. (2012). A robust approach for root causes identification in machining processes using hybrid learning algorithm and engineering knowledge. Journal of Intelligent Manufacturing, 23, 1833–1847.

4. Duda, R., Hart, P., & Stork, D. (2000). Pattern classification (2nd ed.). New York: Wiley.

5. Friedman, J. H. (1989). Regularized discriminant analysis. Journal of the American Statistical Association, 84, 165–175.

Cited by 70 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. Early fault detection via combining multilinear PCA with retrospective monitoring using weighted features;Brazilian Journal of Chemical Engineering;2024-07-31

2. Systematic Review on Fault Diagnosis on Rolling-Element Bearing;Journal of Vibration Engineering & Technologies;2024-04-10

3. Rolling Bearing Fault Diagnostics Using SSA-ELM and TVF-EMD Multi-Scale Entropy;2024 7th International Conference on Advanced Algorithms and Control Engineering (ICAACE);2024-03-01

4. New Cointegration-Based Feature Extraction Technique for Intelligent Bearing Fault Detection Under Time-Varying Speed;Arabian Journal for Science and Engineering;2024-01-29

5. Fault diagnosis in semiconductor manufacturing processes using a CNN-based generative adversarial network1;Journal of Intelligent & Fuzzy Systems;2024-01-10

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