Statistical monitoring of fed-batch process using dynamic multiway neighborhood preserving embedding
Author:
Publisher
Elsevier BV
Subject
Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry
Reference37 articles.
1. Monitoring batch processes using multiway principal component analysis
2. Multi-way partial least squares in monitoring batch processes
3. Nonlinear principal component analysis—Based on principal curves and neural networks
4. Non-linear principal components analysis for process fault detection
Cited by 38 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. Multineighbor Ensemble Preserving Embedding for Process Monitoring;IEEE Transactions on Instrumentation and Measurement;2024
2. GNPENet: A Novel Convolutional Neural Network With Local Structure for Fault Diagnosis;IEEE Transactions on Instrumentation and Measurement;2024
3. Batch process monitoring based on sequential phase division multiway sparse weighted neighborhood preserving embedding;Measurement Science and Technology;2023-12-11
4. Deep learning with CBAM-based CNN for batch process quality prediction;Measurement Science and Technology;2023-08-09
5. Manifold Regularized Principal Component Analysis Method Using L2,p-Norm;Mathematics;2022-12-05
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