A multivariate monitoring method based on kernel principal component analysis and dual control chart-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A multivariate monitoring method based on kernel principal component analysis and dual control chart

Published:2023-07 Issue: Volume:127 Page:102994
ISSN:0959-1524
Container-title:Journal of Process Control
language:en
Short-container-title:Journal of Process Control

Author:

Liu Liang,Liu Jianchang,Wang Honghai,Tan Shubin,Yu Miao,Xu Peng

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering

Reference36 articles.

1. Fault diagnosis in discrete-event systems with incomplete models: Learnability and diagnosability;Kwong;IEEE Trans. Cybern.,2015

2. A negative selection immune system inspired methodology for fault diagnosis of wind turbines;Alizadeh;IEEE Trans. Cybern.,2017

3. Adaptively adjusted event-triggering mechanism on fault detection for networked control systems;Wang;IEEE Trans. Cybern.,2017

4. Robust fault detection for switched fuzzy systems with unknown input;Han;IEEE Trans. Cybern.,2018

5. A novel multivariate statistical process monitoring algorithm: Orthonormal subspace analysis;Lou;Automatica,2022

Cited by 7 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. Incipient Fault Diagnosis of Industrial Processes Based on Residual Evaluation Multi-Feature Joint Analysis;Industrial & Engineering Chemistry Research;2024-07-24

2. Exploring evolutionary-tuned autoencoder-based architectures for fault diagnosis in a wind turbine gearbox;Smart Science;2024-06-11

3. Gaussian-kernel weighted neighborhood preserving embedding algorithm and its application in fault detection;Measurement Science and Technology;2024-05-22

4. Distributed temporal–spatial neighbourhood enhanced variational autoencoder for multiunit industrial plant‐wide process monitoring;The Canadian Journal of Chemical Engineering;2024-01-18

5. Closed-Loop Continuous-Time Subspace Identification with Prior Information;Mathematics;2023-12-11

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