Data-Driven Soft Sensor for Hot Strip Mill Process Based on Multiscale Information-Fusion Attention Network-Reference-Cited by-同舟云学术

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

Published:2024 Issue: Volume:73 Page:1-11
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Xue Jianye¹^ORCID,Li Kang¹^ORCID,Zhang Tongshuai¹^ORCID,Ye Hao¹^ORCID

Affiliation:

1. Department of Automation, Tsinghua University, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Science Foundation of China University of Petroleum, Beijing

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/19/10367905/10648819.pdf?arnumber=10648819

Reference48 articles.

1. A Practical Root Cause Diagnosis Framework for Quality-Related Faults in Manufacturing Processes With Irregular Sampling Measurements

2. Waterdrop Removal From Hot-Rolled Steel Strip Surfaces Based on Progressive Recurrent Generative Adversarial Networks

3. Mechanical Properties of Materials

4. Local multi-model integrated soft sensor based on just-in-time learning for mechanical properties of hot strip mill process

5. A Review on Soft Sensors for Monitoring, Control, and Optimization of Industrial Processes

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