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Detection of Oscillations in Process Control Loops From Visual Image Space Using Deep Convolutional Networks

Tao Wang Qiming Chen Xun Lang Lei Xie Peng Li Hongye Su

自动化学报（英文版）2024，Vol.11Issue(4)：982-995,14.

自动化学报（英文版）2024，Vol.11Issue(4)：982-995,14.DOI:10.1109/JAS.2023.124170

Detection of Oscillations in Process Control Loops From Visual Image Space Using Deep Convolutional Networks

Tao Wang ¹Qiming Chen ²Xun Lang ¹Lei Xie ³Peng Li ¹Hongye Su³

作者信息

1. Department of Electronic Engineering, the School of Information, Yunnan University, Kunming650091, China
2. DAMO Academy, Alibaba Group, Hangzhou 311100, China
3. State Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou 310027, China
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摘要

关键词

Convolutional neural networks(CNNs)/deep learn-ing/image processing/oscillation detection/process industries

Key words

Convolutional neural networks(CNNs)/deep learn-ing/image processing/oscillation detection/process industries

引用本文复制引用

Tao Wang,Qiming Chen,Xun Lang,Lei Xie,Peng Li,Hongye Su..Detection of Oscillations in Process Control Loops From Visual Image Space Using Deep Convolutional Networks[J].自动化学报（英文版）,2024,11(4):982-995,14.

基金项目

This work was supported in part by the National Natural Science Foundation of China(62003298,62163036),the Major Project of Science and Technology of Yunnan Province(202202AD080005,202202 AH080009),and the Yunnan University Professional Degree Graduate Practice Innovation Fund Project(ZC-22222770). （62003298,62163036）

自动化学报（英文版）

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