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检索条件"任意字段=Conference on Data Analysis and Modeling for Process Control"
57973 条 记 录,以下是281-290 订阅
排序:
Prognostics for Semiconductor Sustainability: Tool Failure Behavior Prediction in Fabrication processes
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IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 2024年 第6期54卷 3450-3460页
作者: Zhu, Li Chen, Junghui Chen, Chun-, I Dalian Univ Technol Key Lab Intelligent Control & Optimizat Ind Equipm Minist Educ Dalian 116024 Peoples R China Dalian Univ Technol Sch Control Sci & Engn Dalian 116024 Peoples R China Chung Yuan Christian Univ Dept Chem Engn Taoyuan 320 Taiwan Western Digital Corp Adv Proc Control Grp Magnet Head Wafer Mfg Fab Fremont CA 94539 USA
Semiconductor fabrication is regarded as one of the most complicated production processes with a high-mixed and uncertain production context, and it suffers from tool failures. Prognostics can predict the time when a ... 详细信息
来源: 评论
An Experience Report on modeling Software process in Industrial Context: Challenges and Solutions  13
An Experience Report on Modeling Software Process in Industr...
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International conference on Software and Systems processes (ICSSP)
作者: Li, Yue Zhang, He Dong, Liming Liu, Bohan Yang, Lanxin Nanjing Univ Software Inst State Key Lab Novel Software Technol Nanjing Jiangsu Peoples R China CSIRO Data61 Canberra ACT Australia
Software process Model (SPM) is an abstraction of the software development process over time to assist in managing the process. SPM has attracted significant attention from researchers and practitioners in the past de... 详细信息
来源: 评论
data-Driven Modelling of Electrode Resistance in Submerged Arc Furnaces  19
Data-Driven Modelling of Electrode Resistance in Submerged A...
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IEEE 19th conference on Industrial Electronics and Applications (ICIEA)
作者: Biswas, Sinchan Risinggard, Vetle Kjaer Sparta, Manuel Varagnolo, Damiano NTNU Dept Engn Cybernet Trondheim Norway NORCE Modeling & Simulat Grp Kristiansand Norway
We consider the problem of finding control-oriented models for the electrode resistance of submerged arc furnaces (SAF) to aid the metallurgical process control of ferrosilicon production. To accomplish this goal, we ... 详细信息
来源: 评论
Expensive deviation-correction drilling trajectory planning: A constrained multi-objective Bayesian optimization with feasibility-oriented bi-objective acquisition function
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control ENGINEERING PRACTICE 2025年 156卷
作者: Xu, Jiafeng Chen, Xin Zhou, Yang Zhang, Menglin Cao, Weihua Wu, Min China Univ Geosci Sch Automat Wuhan 430074 Peoples R China Hubei Key Lab Adv Control & Intelligent Automat Co Wuhan 430074 Peoples R China Minist Educ Engn Res Ctr Intelligent Technol Geoexplorat Wuhan 430074 Peoples R China
While conducting large-depth vertical drilling, correcting well trajectory deviations is a critical and challenging task. Designing a feasible deviation-correction trajectory becomes an expensive constrained multi-obj... 详细信息
来源: 评论
Residual Deep Reinforcement Learning With Model-Based Optimization for Inverter-Based Volt-Var control
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IEEE TRANSACTIONS ON SUSTAINABLE ENERGY 2025年 第1期16卷 269-283页
作者: Liu, Qiong Guo, Ye Deng, Lirong Liu, Haotian Li, Dongyu Sun, Hongbin Tsinghua Univ Tsinghua Berkeley Shenzhen Inst Shenzhen 518071 Peoples R China Shanghai Univ Elect Power Dept Elect Engn Shanghai 200000 Peoples R China Tsinghua Univ Dept Elect Engn State Key Lab Power Syst Beijing 100084 Peoples R China Beihang Univ Sch Cyber Sci & Technol Beijing 100191 Peoples R China
A residual deep reinforcement learning (RDRL) based on an approximate-model-driven optimization approach is proposed for inverter-based volt-var control (IB-VVC) in active distribution networks. A modified Markov deci... 详细信息
来源: 评论
An Innovative modeling Method Based on Pattern-Moving Theory for Sintering process  43
An Innovative Modeling Method Based on Pattern-Moving Theory...
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43rd Chinese control conference (CCC)
作者: Li, Ning Wang, ZhengGuang Han, Cheng Li, XiangQuan Univ Sci & Technol Beijing Sch Automat & Elect Engn Beijing 100083 Peoples R China Jingdezhen Univ Sch Informat Engn Jingdezhen 333032 Peoples R China
Sintering process is a strongly coupled multi-variable nonlinear system with large lag and initial sensitivity. It contains control target with less manipulate variables than controlled variables, and the phase transi... 详细信息
来源: 评论
Lightweight Electrochemical Hybrid modeling Approach for Li-ion Batteries using Gaussian process Regression
Lightweight Electrochemical Hybrid Modeling Approach for Li-...
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American control conference (ACC)
作者: Fogelquist, Jackson Lin, Xinfan Univ Calif Davis Dept Mech & Aerosp Engn Davis CA 95616 USA
The development of next-generation battery management systems needs models with enhanced performance to enable advanced control, diagnostic, and prognostic techniques for improving the safety and performance of lithiu... 详细信息
来源: 评论
An Improved data-Driven modeling Method for Aircraft Based on Prediction and Optimization  35
An Improved Data-Driven Modeling Method for Aircraft Based o...
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35th Chinese control and Decision conference (CCDC)
作者: Su, Shihong Xiao, Bing Li, Lingwei Luo, Jinfeng Zhao, Hui Northwestern Polytech Univ Sch Automat Xian Peoples R China
This paper proposes a data-driven modeling method for aircraft by predicting model errors and optimizing model structures. Based on flight test data from the mechanism model, the aircraft data-driven model is establis... 详细信息
来源: 评论
Evaluation of the effectiveness of the structural unit of a chemical industry enterprise by methods of statistical data analysis  7
Evaluation of the effectiveness of the structural unit of a ...
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7th International Women in data Science conference at Prince Sultan University (WiDS-PSU)
作者: Gotovtseva, Anastasia St Petersburg Min Univ Dept Syst Anal & Management St Petersburg Russia
In this work, the activities of a chemical industry enterprise were investigated using statistical data analysis methods. The purpose of the study is to evaluate and develop recommendations for improving the efficienc... 详细信息
来源: 评论
Joint time-serial variation analysis for fault monitoring of chemical processes
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process SAFETY AND ENVIRONMENTAL PROTECTION 2025年 196卷
作者: Hu, Guowei Tong, Chudong Zeng, Jia Luo, Lijia Ningbo Polytech Inst Intelligent Elect & Control Ningbo 315800 Zhejiang Peoples R China Zhejiang Univ Technol Coll Mech Engn Hangzhou 310014 Zhejiang Peoples R China
As the classical analytics in the field of data-driven fault monitoring, time neighborhood preserving embedding (TNPE), dynamic inner canonical correlation analysis (DiCCA), and slow feature analysis (SFA) provided th... 详细信息
来源: 评论