Monitoring of Processes with Multiple Operating Modes through Multiple Principle Component Analysis Models-Reference-Cited by-同舟云学术

Monitoring of Processes with Multiple Operating Modes through Multiple Principle Component Analysis Models

Published:2004-09-30 Issue:22 Volume:43 Page:7025-7035
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Zhao Shi Jian¹,Zhang Jie¹,Xu Yong Mao¹

Affiliation:

1. Department of Automation, Tsinghua University, Beijing 100084, China, and School of Chemical Engineering and Advanced Materials, University of Newcastle, Newcastle upon Tyne NE1 7RU, U.K.

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie0497893

Reference30 articles.

1. Process performance monitoring using multivariate statistical process control

2. Two generalizations of the common principal component model

3. Performance monitoring of a multi-product semi-batch process

Cited by 179 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. Performance Evaluation and Order Selection for Pattern Modeling Methods Through Granger Causality Analysis;2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS);2024-05-17

2. Optimizing Depression Prediction in Older Adults: A Comparative Study of Feature Extraction and Machine Learning Models;2024 International Conference on Control, Automation and Diagnosis (ICCAD);2024-05-15

3. Bayesian Multimodal Data Analytics: AnIntroduction;Springer Optimization and Its Applications;2024

4. Data-driven anomaly monitoring methods for multimode processes: overview and perspectives;SCIENTIA SINICA Informationis;2023-11-01

5. A topology model based on common and specific feature separation for multimode process monitoring;Journal of Process Control;2023-10