A data-driven fault detection approach for unknown large-scale systems based on GA-SVM-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A data-driven fault detection approach for unknown large-scale systems based on GA-SVM

Published:2024-02 Issue: Volume:658 Page:120023
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Ma Zhenlei^ORCID,Li Xiaojian^ORCID,Sun Jie

Funder

National Natural Science Foundation of China

State Key Laboratory of Synthetical Automation for Process Industries

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference33 articles.

1. Robust model-based fault diagnosis for dynamic systems;Chen;Automatica,2002

2. Parity space vector machine approach to robust fault detection for linear discrete-time systems;Zhong;IEEE Trans. Syst. Man Cybern. Syst.,2021

3. Fault detection filter design for data reconstruction-based continuous-time networked control systems;Wang;Inf. Sci.,2016

4. Guaranteed model-based fault detection in cyber-physical systems: a model invalidation approach;Harirchi;Automatica,2018

5. Fault estimation filter design with guaranteed stability using Markov parameters;Wan;IEEE Trans. Autom. Control,2018

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