A Faster Dynamic Feature Extractor and Its Application to Industrial Quality Prediction-Reference-Cited by-同舟云学术

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A Faster Dynamic Feature Extractor and Its Application to Industrial Quality Prediction

Published:2023-05 Issue:5 Volume:19 Page:6773-6784
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

He Bocun¹^ORCID,Zhang Qingzhi²,Zhang Xinmin¹^ORCID

Affiliation:

1. State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China

2. School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, China

Funder

National Natural Science Foundation of China

Major Science and Technology Infrastructure Project of Zhijiang Laboratory

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/10116046/09882520.pdf?arnumber=9882520

Reference33 articles.

1. Moving average PLS soft sensor for online product quality estimation in an industrial batch polymerization process

2. Disturbance detection and isolation by dynamic principal component analysis

3. Weighted Linear Dynamic System for Feature Representation and Soft Sensor Application in Nonlinear Dynamic Industrial Processes

4. Inferential control system of distillation compositions using dynamic partial least squares regression

5. Attention is all you need;vaswani;Proc Adv Neural Inf Process Syst,0

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1. Stacked dynamic target regularization enhanced autoencoder for soft sensor in industrial processes;The Canadian Journal of Chemical Engineering;2024-08-20

2. Reliable Soft Sensors With an Inherent Process Graph Constraint;IEEE Transactions on Industrial Informatics;2024-06

3. Information Complementary Fusion Stacked Autoencoders for Soft Sensor Applications in Multimode Industrial Processes;IEEE Transactions on Industrial Informatics;2024-01

4. One-Sided Relational Autoencoder With Seasonal-Trend Decomposition to Extract Process Correlations for Molten Iron Quality Prediction;IEEE Transactions on Instrumentation and Measurement;2024

5. Dynamic Feature Extractor for Industrial Key Variable Prediction Based on Enhanced Gating Mechanism;2023 China Automation Congress (CAC);2023-11-17

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