An improved weighted one class support vector machine for turboshaft engine fault detection-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

An improved weighted one class support vector machine for turboshaft engine fault detection

Published:2020-09 Issue: Volume:94 Page:103796
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Zhao Yong-Ping,Huang Gong,Hu Qian-Kun,Li Bing

Funder

Fundamental Research Funds for the Intelligent Aero-engines

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference42 articles.

1. An experimental comparison of cross-validation techniques for estimating the area under the ROC curve;Airola;Comput. Statist. Data Anal.,2011

2. The ‘K’ in K-fold cross validation;Anguita,2012

3. FSVM-CIL: fuzzy support vector machines for class imbalance learning;Batuwita;IEEE Trans. Fuzzy Syst.,2010

4. Comparison of adaptive filters for gas turbine performance monitoring;Borguet;J. Comput. Appl. Math.,2010

5. Density weighted support vector data description;Cha;Expert Syst. Appl.,2014

Cited by 46 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. Helicopter Turboshaft Engines’ Gas Generator Rotor R.P.M. Neuro-Fuzzy On-Board Controller Development;Energies;2024-08-14

2. Helicopter Turboshaft Engine Residual Life Determination by Neural Network Method;Electronics;2024-07-26

3. Robust Support Vector Data Description with Truncated Loss Function for Outliers Depression;Entropy;2024-07-25

4. A hybridization of multiple imputation and one-class bagging ensemble approach for missing value and class imbalance problem;Evolving Systems;2024-07-13

5. Novel Transfer Learning Based on Support Vector Data Description for Aeroengine Fault Detection;Journal of Aerospace Engineering;2024-05

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