A fast monitoring method for multiple operating batch processes with incomplete modeling data types-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A fast monitoring method for multiple operating batch processes with incomplete modeling data types

Published:2015-01 Issue: Volume:21 Page:328-337
ISSN:1226-086X
Container-title:Journal of Industrial and Engineering Chemistry
language:en
Short-container-title:Journal of Industrial and Engineering Chemistry

Author:

Wang Ya-Jun,Jia Ming-Xing,Mao Zhi-Zhong

Funder

National Science Foundation

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

General Chemical Engineering

Reference36 articles.

1. Principal component analysis

2. Combining Conceptual Clustering and Principal Component Analysis for State Space Based Process Monitoring

3. Enhanced bio-manufacturing through advanced multivariate statistical technologies

4. Statistical process monitoring based on dissimilarity of process data

5. Statistical process monitoring: basics and beyond

Cited by 9 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. Efficient Iterative Dynamic Kernel Principal Component Analysis Monitoring Method for the Batch Process with Super-large-scale Data Sets;ACS Omega;2021-04-06

2. Compound dimensionality reduction based multi-dynamic kernel principal component analysis monitoring method for batch process with large-scale data sets;Journal of Intelligent & Fuzzy Systems;2020-01-09

3. Optimization of time‐variable‐parameter model for data‐based soft sensor of industrial debutanizer;Optimal Control Applications and Methods;2019-11-03

4. Multiphase batch process with transitions monitoring based on global preserving statistics slow feature analysis;Neurocomputing;2018-06

5. Online Monitoring for Industrial Processes Quality Control Using Time Varying Parameter Model;International Journal of Engineering;2018-04

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