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检索条件"任意字段=Conference on Data Analysis and Modeling for Process Control"
58338 条 记 录,以下是71-80 订阅
A Function-on-Function Regression Model for Monitoring the Manufacturing process Performance with Application in Friction Stir Welding
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PHYSICAL MESOMECHANICS 2024年 第4期27卷 447-460页
作者: Ramezankhani, F. Noorossana, R. Aliha, M. R. M. Iran Univ Sci & Technol Sch Ind Engn Tehran *** Iran Univ Cent Oklahoma Coll Business Informat Syst & Operat Management Dept Edmond OK 73034 USA Iran Univ Sci & Technol Welding & Joining Res Ctr Tehran *** Iran
Friction stir welding is a relatively new way to join solid materials without melting using a nonconsumable tool, which has many applications in different industries including automotive, shipbuilding, and aerospace. ... 详细信息
来源: 评论
data-driven Energy Consumption modeling and Simulation Method of Discrete Manufacturing Workshop Based on Simplified Power Curve  9
Data-driven Energy Consumption Modeling and Simulation Metho...
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9th International conference on Automation, control and Robotics Engineering (CACRE)
作者: Yao, Ming Chang, Puikuan Shao, Zhufeng Zhang, Qi Niu, Pengfei Tsinghua Univ State Key Lab Tribol Beijing Peoples R China Tsinghua Univ Beijing Key Lab Precis Ultraprecis Mfg Equipments Beijing Peoples R China Tsinghua Univ Zhili Coll Beijing Peoples R China Instrumentat Technol & Econ Inst Beijing Peoples R China
As a core part of industrial production, the management of energy consumption (EC) in discrete manufacturing workshops (DMWs) is critical to improving productivity, reducing costs, and minimizing environmental impact.... 详细信息
来源: 评论
Nonlinear generalized predictive control with virtual unmodeled dynamics decomposition compensation and data driven
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JOURNAL OF process control 2023年 第1期125卷 19-27页
作者: Zhang, Yajun Lu, Shaowen Chen, Zhuoling Northeastern Univ State Key Lab Synthet Automat Proc Ind Shenyang 110819 Liaoning Peoples R China
In this study, a novel nonlinear generalized predictive control (NGPC) method is proposed to tackle the tracking control problem which considers a mathematical model in conjunction with the virtual unmodeled dynamics ... 详细信息
来源: 评论
Information enhanced slow feature analysis integrated with prior fault data for sensitive monitoring of chemical processes
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process SAFETY AND ENVIRONMENTAL PROTECTION 2024年 191卷 2266-2280页
作者: Deng, Xiaogang Yang, Wenjie Cao, Yuping Bo, Yingchun China Univ Petr Coll Control Sci & Engn Qingdao 266580 Peoples R China
As an effective feature extraction method, slow feature analysis (SFA) has been successfully applied in the domain of chemical process monitoring. However, as an unsupervised method, the basic SFA ignores the key info... 详细信息
来源: 评论
SENTINEL: A Shiny app for processing and analysis of fenceline sensor data
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ENVIRONMENTAL MODELLING & SOFTWARE 2025年 189卷
作者: MacDonald, M. K. Champion, W. M. Thoma, E. D. US Environm Protect Agcy Ctr Environm Measurement & Modeling Off Res & Dev Res Triangle Pk NC 27709 USA
SENTINEL (SEnsor NeTwork INtelligent Emissions Locator) is an application developed in R Shiny to support emerging user groups of lower cost fenceline sensors, such as those monitoring volatile organic compound or met... 详细信息
来源: 评论
Machine learning in modeling, analysis and control of electrochemical reactors: A tutorial review
DIGITAL CHEMICAL ENGINEERING
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DIGITAL CHEMICAL ENGINEERING 2025年 15卷
作者: Wang, Wenlong Wu, Zhe Peters, Dominic Citmaci, Berkay Morales-Guio, Carlos G. Christofides, Panagiotis D. Natl Univ Singapore Dept Chem & Biomol Engn Singapore 117585 Singapore Univ Calif Los Angeles Dept Chem & Biomol Engn Los Angeles CA 90095 USA Univ Calif Los Angeles Dept Elect & Comp Engn Los Angeles CA 90095 USA
Electrochemical reactors play a critical role in various industrial sectors, including energy storage, chemical production, and environmental engineering. The complexity of these systems-arising from coupled electroch... 详细信息
来源: 评论
Improving data-Driven Inferential Sensor modeling by Industrial Knowledge: A Bayesian Perspective
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IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 2025年 第2期55卷 1043-1055页
作者: Chen, Zhichao Wang, Hao Song, Zhihuan Ge, Zhiqiang Zhejiang Univ Coll Control Sci & Engn State Key Lab Ind Control Technol Hangzhou 310027 Peoples R China Guangdong Univ Petrochem Technol Guangdong Prov Key Lab Petrochem Equipment Fault D Maoming 525000 Peoples R China Southeast Univ Sch Math Nanjing 210096 Peoples R China
Accurate quality variable inference by process variables is the core of industrial inferential sensor modeling, where recent advancements have seen deep learning (DL) models achieving remarkable success. However, inte... 详细信息
来源: 评论
Prediction of Wafer Performance: Use of Functional Outlier Detection and Regression
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IEEE ACCESS 2025年 13卷 35298-35308页
作者: Kim, Kyusoon Oh, Seunghee Bae, Kiwook Oh, Hee-Seok Seoul Natl Univ Dept Stat Seoul 08826 South Korea Samsung Elect Innovat Ctr Hwaseong 18448 South Korea
Optical emission spectroscopy (OES) data is essential for virtual metrology, enabling accurate predictions of wafer performance in plasma etching processes. This approach not only reduces the need for physical measure... 详细信息
来源: 评论
modeling the working pressure of a cement vertical roller mill using SHAP-XGBoost: A "conscious lab of grinding principle" approach
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POWDER TECHNOLOGY 2025年 457卷
作者: Fatahi, Rasoul Abdollahi, Hadi Noaparast, Mohammad Hadizadeh, Mehdi Univ Tehran Coll Engn Sch Min Engn Tehran Iran
The optimization and control of Vertical Roller Mill (VRM) circuits are critical for industrial processes, yet limited modeling has slowed progress in operator training, error minimization, and laboratory cost savings... 详细信息
来源: 评论
Review of computer-aided methods in fat crystallization studies
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JOURNAL OF THE AMERICAN OIL CHEMISTS SOCIETY 2024年 第11期101卷 1253-1266页
作者: Qi, Ang Zhang, Lu Zhengzhou Univ Light Ind Coll Food & Bioengn Key Lab Cold Chain Food Proc & Safety Control Minist Educ Zhengzhou Henan Peoples R China
With recent improvements in computer performance, computer-aided studies have become increasingly important. Computer-aided methods have been applied in fat crystallization studies for modeling, simulation, optimizati... 详细信息
来源: 评论