Manifold regularized stacked autoencoders-based feature learning for fault detection in industrial processes-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Manifold regularized stacked autoencoders-based feature learning for fault detection in industrial processes

Published:2020-08 Issue: Volume:92 Page:119-136
ISSN:0959-1524
Container-title:Journal of Process Control
language:en
Short-container-title:Journal of Process Control

Author:

Yu Jianbo,Zhang Chengyi

Funder

National Natural Science Foundation of China

Shanghai Science and Technology Commission

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

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

Reference71 articles.

1. Multiscale PCA with application to multivariate statistical process monitoring;Bakshi;AIChE J.,1998

2. Recursive PCA for adaptive process monitoring;Li;J. Process Control,2000

3. Nonlinear dynamic process monitoring based on dynamic kernel PCA;Choi;Chem. Eng. Sci.,2004

4. Independent component analysis: Algorithms and applications;Hyvärinen;Neural Netw.,2000

5. Independent component analysis-based non-Gaussian process monitoring with preselecting optimal components and support vector data description;Jiang;Int. J. Prod. Res.,2014

Cited by 59 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. Revolutionizing defect recognition in hard metal industry through AI explainability, human-in-the-loop approaches and cognitive mechanisms;Expert Systems with Applications;2024-12

2. Residual squeeze-and-excitation convolutional auto-encoder for fault detection and diagnosis in complex industrial processes;Engineering Applications of Artificial Intelligence;2024-10

3. Adaptive Attention-Driven Manifold Regularization for Deep Learning Networks: Industrial Predictive Modeling Applications and Beyond;IEEE Transactions on Industrial Electronics;2024-10

4. Few-shot fault diagnosis of rolling bearing via mutual centralized learning combining simple and parameter-free attention;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2024-09-09

5. Dual‐noise autoencoder combining pseudo‐labels and consistency regularization for process fault classification;The Canadian Journal of Chemical Engineering;2024-09-03

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