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检索条件"主题词=Multivariate Statistical Process Control"
261 条 记 录,以下是51-60 订阅
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A machine vision approach for detecting changes in drill core textures using optical images
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MINING TECHNOLOGY-TRANSACTIONS OF THE INSTITUTIONS OF MINING AND METALLURGY 2024年 第2期133卷 162-175页
作者: Gu, Xiaomeng Cook, Nigel J. Metcalfe, Andrew V. Aldrich, Chris Univ Adelaide Sch Chem Engn Adelaide SA 5005 Australia Univ Adelaide Sch Comp & Math Sci Adelaide Australia Curtin Univ Western Australian Sch Mines Minerals Energy & Che Perth Australia
Drill core images offer valuable insights into the texture, structure and mineralogy of ores and their host rocks, which can be used to optimise downstream processes in the mining industry. The impact on downstream pr... 详细信息
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One-Class Classification-Based Monitoring of Mineral processing Operations with Hyperensemble Tree-Models
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IFAC-PapersOnLine 2024年 第22期58卷 95-100页
作者: Chris Aldrich Xiu Liu Western Australian School of Mines Curtin University WA Australia 8030
Reliable monitoring of mineral process systems is key to more efficient plant operation. multivariate statistical process control based on principal component analysis is well-established in industry, but may not be e... 详细信息
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Integrating PCA and structural model decomposition to improve fault monitoring and diagnosis with varying operation points
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2023年 122卷
作者: Garcia-Alvarez, D. Bregon, A. Pulido, B. Alonso-Gonzalez, C. J. Univ Valladolid Dept Informat Valladolid 47011 Spain
Fast and efficient fault monitoring and diagnostics methods are essential for fault diagnosis and prognosis tasks in Health Monitoring Systems. These tasks are even more complicated when facing dynamic systems with mu... 详细信息
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Real-time monitoring and fault detection of pulsed-spray fluid-bed granulation using near-infrared spectroscopy and multivariate process trajectories
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Particuology 2020年 第6期18卷 112-123页
作者: Jie Zhao Wenlong Li Haibin Qu Geng Tian Yanding Wei Pharmaceutical Informatics Institute College of Pharmaceutical SciencesZhejiang UniversityHangzhou 310058China Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province College of Mechanical EngineeringZhejiang UniversityHangzhou 310027China
Pulsed spray is a useful tool forgranule size control in fluid bed *** improve the quality control of pulsed-spray fluid bed granulation,a combination of in-line near-infrared(NIR)spectroscopy and p「incipal component... 详细信息
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Study on robust model construction method of multi-batch fruit online sorting by near-infrared spectroscopy
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SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022年 280卷 121478页
作者: Hao, Yong Lu, Yuanhang Li, Xiyan East China Jiaotong Univ Sch Mechatron & Vehicle Engn Nanchang 330013 Peoples R China
In the online detection of fruit samples by near-infrared spectroscopy (NIRS), the natural change of sample states or the variations of instruments will often cause a large error in predicting different batches of sam... 详细信息
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A Multiblock Approach to Fuse process and Near-Infrared Sensors for On-Line Prediction of Polymer Properties
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SENSORS 2022年 第4期22卷 1436-1436页
作者: Strani, Lorenzo Vitale, Raffaele Tanzilli, Daniele Bonacini, Francesco Perolo, Andrea Mantovani, Erik Ferrando, Angelo Cocchi, Marina Univ Modena & Reggio Emilia Dept Chem & Geol Sci Via 4 Campi 103 I-41125 Modena Italy Univ Lille Lab Spect Interact React & Environm Ctr Natl Rech Sci CNRS F-59000 Lille France Versalis ENI SpA Res Ctr Via Taliercio 14 I-46100 Mantua Italy
Petrochemical companies aim at assessing final product quality in real time, in order to rapidly deal with possible plant faults and to reduce chemical wastes and staff effort resulting from the many laboratory analys... 详细信息
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process Fault Diagnosis Method Based on MSPC and LiNGAM and its Application to Tennessee Eastman process
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IFAC-PapersOnLine 2022年 第2期55卷 384-389页
作者: Yoshiaki Uchida Koichi Fujiwara Tatsuki Saito Taketsugu Osaka Dept. of Material Process Engineering Nagoya University Nagoya Japan 464-8601 Kobe Corporate Research Laboratories Kobe Steel Kobe Hyogo Japan 651-2271
This paper proposes a new fault diagnosis method that combines multivariate statistical process control (MSPC) and a linear non-gaussian acyclic model (LiNGAM), referred to as MSPC-LiNGAM. MSPC is a widely adopted pro... 详细信息
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Improved neural component analysis for monitoring nonlinear and Non-Gaussian processes
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MEASUREMENT 2022年 195卷
作者: Lou, Zhijiang Li, Zedong Wang, Youqing Lu, Shan Shenzhen Polytech Inst Inlligence Sci & Engn Shenzhen 518055 Peoples R China Qingdao Agr Univ Coll Mech & Elect Engn Qingdao 266109 Peoples R China Beijing Univ Chem Technol Coll Informat Sci & Technol Beijing 100029 Peoples R China
Neural component analysis (NCA) is one of the latest nonlinear multivariate statistical process control (MSPC) methods, which consists in combining artificial neural networks (ANNs) with principal component analysis (... 详细信息
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Bivariate semiparametric control charts for simultaneous monitoring of process mean and variance
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QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL 2020年 第2期36卷 447-473页
作者: Koutras, Markos, V Sofikitou, Elisavet M. Univ Piraeus Sch Finance & Stat Dept Stat & Insurance Sci Piraeus Greece
In the present article, two semiparametric bivariate control charts are presented, which use order statistics and are effective in jointly monitoring of possible shifts in the process mean and/or variance. To achieve ... 详细信息
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A Monitoring Technique Using multivariate statistical process control Method for Performance Improvement with Application to Wastewater Treatment Plant Operation
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IFAC Proceedings Volumes 2012年 第16期45卷 619-624页
作者: O. Yamanaka N. Yoshizawa Y. Hiraoka K. Sano T. Hamada Toshiba Corporation Tokyo Japan Japan Sewage Works Agency Tokyo Japan
This paper presents a new monitoring technique to improve the performance of plant operation based on multivariate statistical process control (MSPC). The proposed method combines with MSPC by principal component anal... 详细信息
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