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检索条件"机构=Key Laboratory of Industrial Computer Control Engineering"
6787 条 记 录,以下是1-10 订阅
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Physical Layer Security Scheme With AoI-Awareness for industrial IoT Based on Covert Communications
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IEEE/CAA Journal of Automatica Sinica 2025年 第1期12卷 276-278页
作者: Yaping Li Zhi-Xin Liu Jia-Wei Su Ya-Zhou Yuan the Key Laboratory of Industrial Computer Control Engineering of Hebei Province Yanshan University
Dear Editor,industrial Internet of things(IIoT) is a typical application of cyberphysical system(CPS). In the IIoT, wireless communication is an inevitable trend to replace the deployment-limited wired transmission fo...
来源: 评论
From Static and Dynamic Perspectives:A Survey on Historical Data Benchmarks of control Performance Monitoring
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IEEE/CAA Journal of Automatica Sinica 2025年 第2期12卷 300-316页
作者: Pengyu Song Jie Wang Chunhui Zhao Biao Huang the State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University IEEE the Department of Chemical and Materials Engineering University of Alberta
In recent decades, control performance monitoring(CPM) has experienced remarkable progress in research and industrial applications. While CPM research has been investigated using various benchmarks, the historical dat... 详细信息
来源: 评论
Conditional Feature Generative Adversarial Network for Fault Diagnosis of Axial Piston Pump
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IEEE Sensors Journal 2025年 第11期25卷 20907-20919页
作者: Chen, Dong-Ning Hu, Dong-Bo Wang, Hao-Wen Xian, Qing-Gui Yao, Cheng-Yu Deng, Ran-Yang Yanshan University School of Mechanical Engineering Qinhuangdao066004 China Yanshan University Hebei Key Laboratory of Industrial Computer Control Engineering Qinhuangdao066004 China
A conditional feature generative adversarial network (CFGAN) for small sample data augmentation was proposed in this paper to address the issue of the scarcity of fault samples in axial piston pump fault diagnosis. Wi... 详细信息
来源: 评论
Toward Universal controller: Performance-Aware Self-Optimizing Reinforcement Learning for Discrete-Time Systems With Uncontrollable Factors
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IEEE Transactions on Systems, Man, and Cybernetics: Systems 2025年 第5期55卷 3249-3260页
作者: Zhang, Jianfeng Zhang, Haoran Zhao, Chunhui Zhejiang University State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Hangzhou310027 China
The industrial system usually contains not only controllable variables (CVs) but also uncontrollable variables (unCVs), e.g., weather conditions and friction. These unCVs have a direct impact on system control perform... 详细信息
来源: 评论
A blast furnace fault monitoring algorithm with low false alarm rate:Ensemble of greedy dynamic principal component analysis-Gaussian mixture model
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Chinese Journal of Chemical engineering 2023年 第5期57卷 151-161页
作者: Xiongzhuo Zhu Dali Gao Chong Yang Chunjie Yang State Key Laboratory of Industrial Control Technology College of Control Science and EngineeringZhejiang UniversityHangzhou 310027China
The large blast furnace is essential equipment in the process of iron and steel manufacturing. Due to the complex operation process and frequent fluctuations of variables, conventional monitoring methods often bring f... 详细信息
来源: 评论
QTFN:A General End-to-End Time-Frequency Network to Reveal the Time-Varying Signatures of the Time Series
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Big Data Mining and Analytics 2024年 第3期7卷 905-919页
作者: Tao Chen Yang Jiao Lei Xie Hongye Su State Key Laboratory of Industrial Control Technology Zhejiang UniversityHangzhou 310027China Shenzhen Key Laboratory of Intelligent Bioinformatics and College of Computer Science and Control EngineeringShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China
Nonstationary time series are ubiquitous in almost all natural and engineering *** the time-varying signatures from nonstationary time series is still a challenging problem for data *** Time-Frequency Distribution(TFD... 详细信息
来源: 评论
An Accurate and Interpretable Framework for Trustworthy Process Monitoring
IEEE Transactions on Artificial Intelligence
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IEEE Transactions on Artificial Intelligence 2024年 第5期5卷 2241-2252页
作者: Wang, Hao Wang, Zhiyu Niu, Yunlong Liu, Zhaoran Li, Haozhe Liao, Yilin Huang, Yuxin Liu, Xinggao Zhejiang University State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Hangzhou310027 China
Trustworthy process monitoring seeks to build an accurate and interpretable monitoring framework, which is critical for ensuring the safety of energy conversion plant (ECP) that operates under extreme working conditio... 详细信息
来源: 评论
Pyramid Dynamic Bayesian Networks for key Performance Indicator Prediction in Long Time-Delay industrial Processes
IEEE Transactions on Artificial Intelligence
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IEEE Transactions on Artificial Intelligence 2024年 第2期5卷 661-671页
作者: Zeng, Lingquan Ge, Zhiqiang Zhejiang University State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Hangzhou310027 China
Building dynamic Bayesian networks (DBNs) for time-delay industrial processes has always been tough, since the structure learning of the DBN is a NP-hard problem. In this article, a pyramid DBN (PDBN) framework is pro... 详细信息
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Nanogenerator-based bidirectional pressure sensor array and its demonstration in underwater invasive species detection
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Nano Research 2023年 第9期16卷 11822-11831页
作者: Yunqi Cao Hongyang Shi Xiaobo Tan Nelson Sepúlveda State Key Laboratory of Industrial Control Technology College of Control Science and EngineeringZhejiang UniversityHangzhou 310027China Department of Electrical and Computer Engineering Michigan State UniversityEast LansingMichigan 48824USA
Lakes areas,which cause catastrophic damages in both commercial fishery and ecological ***,current assessment strategies may pose challenges for lake-wide abundance estimation and non-target anadromous species ***,we ... 详细信息
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Relay Selection and Power control for Mobile Underwater Acoustic Communication Networks: A Dual-Thread Reinforcement Learning Approach
IEEE Transactions on Green Communications and Networking
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IEEE Transactions on Green Communications and Networking 2024年 第2期9卷 1-1页
作者: Dai, Jun Li, Xinbin Han, Song Yu, Junzhi Liu, Zhixin Key Lab of Industrial Computer Control Engineering of Hebei Province China Department of Advanced Manufacturing and Robotics College of Engineering State Key Laboratory for Turbulence and Complex Systems Peking University Beijing China
This paper deals with a cooperation communication problem (relay selection and power control) for mobile underwater acoustic communication networks. To achieve satisfactory transmission capacity, we propose a reinforc... 详细信息
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