Adaptive Selective Ensemble-Independent Component Analysis Models for Process Monitoring-Reference-Cited by-同舟云学术

Adaptive Selective Ensemble-Independent Component Analysis Models for Process Monitoring

Published:2018-05-29 Issue:24 Volume:57 Page:8240-8252
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Li Zhichao¹,Yan Xuefeng¹^ORCID

Affiliation:

1. Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology, Shanghai 200237, People’s Republic of China

Funder

Ministry of Education of the People's Republic of China

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.8b00591

Reference51 articles.

1. Data-Based Techniques Focused on Modern Industry: An Overview

2. Review on data-driven modeling and monitoring for plant-wide industrial processes

3. Overview of PCA-Based Statistical Process-Monitoring Methods for Time-Dependent, High-Dimensional Data

4. A Review on Basic Data-Driven Approaches for Industrial Process Monitoring

5. Process monitoring using kernel density estimation and Bayesian networking with an industrial case study

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