Toward Multimode Process Monitoring: A Scheme Based on Kernel Entropy Component Analysis-Reference-Cited by-同舟云学术

Toward Multimode Process Monitoring: A Scheme Based on Kernel Entropy Component Analysis

Published:2023 Issue: Volume:72 Page:1-15
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Xu Peng¹^ORCID,Liu Jianchang¹^ORCID,Yu Feng²^ORCID,Guo Qingxiu¹^ORCID,Tan Shubin¹^ORCID,Zhang Wenle³^ORCID

Affiliation:

1. College of Information Science and Engineering and the State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China

2. College of Information Engineering, Shenyang University of Chemical Technology, Shenyang, China

3. College of Engineering, Ocean University of China, Qingdao, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10262123.pdf?arnumber=10262123

Reference36 articles.

1. Fault monitoring-oriented transition process identification of complex industrial processes with neighbor inconsistent pair-based attribute reduction

2. A Novel Fault Detection Method Based on the Extraction of Slow Features for Dynamic Nonstationary Processes

3. Key principal components with recursive local outlier factor for multimode chemical process monitoring

4. Multiscale Framework for Real-Time Process Monitoring of Nonlinear Chemical Process Systems

5. Modeling and Monitoring for Transitions Based on Local Kernel Density Estimation and Process Pattern Construction

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