Multirate Autoregressive Dynamic Latent Variable Model for Soft Sensing in Dynamic Processes-Reference-Cited by-同舟云学术

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Multirate Autoregressive Dynamic Latent Variable Model for Soft Sensing in Dynamic Processes

Published:2025 Issue: Volume:74 Page:1-10
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Wang Yaoxin¹^ORCID,Zhou Le²^ORCID,He Shenghuang³^ORCID,Wu Yuanqing¹^ORCID

Affiliation:

1. Department of Automation, Guangdong University of Technology, Guangzhou, China

2. Department of Automation and Electrical Engineering, Zhejiang University of Science and Technology, Hangzhou, China

3. Department of Computer Science and Technology, Dongguan University of Technology, Dongguan, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Ningbo Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/19/10764799/10955723.pdf?arnumber=10955723

Reference33 articles.

1. Data-Driven Soft Sensor for Hot Strip Mill Process Based on Multiscale Information-Fusion Attention Network

2. A Semi-Supervised Quality Soft Sensing Method Under Multiple Operating Conditions for Complex Product Manufacturing Processes

3. Process Monitoring, Diagnosis and Control of Additive Manufacturing

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

5. Quality Prediction Modeling for Industrial Processes Using Multiscale Attention-Based Convolutional Neural Network

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