Bibliographies thématiques / On-line process control

Littérature scientifique sur le sujet « On-line process control »

Auteur : Grafiati
Publié le 10 mars 2023

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Articles de revues sur le sujet "On-line process control"

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Sedillot, S. « Distributed On-line Digitized Control Architectures for Process Control ». IFAC Proceedings Volumes 18, no 11 (septembre 1985) : 575–80. http://dx.doi.org/10.1016/s1474-6670(17)60186-1.

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Fransson, Magnus, Anders Sparén, Bengt Lagerholm et Lars Karlsson. « On-Line Process Control of Liquid Chromatography ». Analytical Chemistry 73, no 7 (avril 2001) : 1502–8. http://dx.doi.org/10.1021/ac001149w.

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Persson, W., W. Wendt et H. Bertheussen. « On-line optical process control in steelmaking ». JOM 41, no 10 (octobre 1989) : 17–19. http://dx.doi.org/10.1007/bf03220355.

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Weerapperuma, Dilrika, et Viraj de Silva. « ON-LINE ANALYZER APPLICATIONS FOR BNR PROCESS CONTROL ». Proceedings of the Water Environment Federation 2004, no 13 (1 janvier 2004) : 474–78. http://dx.doi.org/10.2175/193864704784137936.

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Tanomaru, J., et S. Omatu. « Process control by on-line trained neural controllers ». IEEE Transactions on Industrial Electronics 39, no 6 (1992) : 511–21. http://dx.doi.org/10.1109/41.170970.

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Van Der Linden, W. E. « Flow injection analysis in on-line process control ». Analytica Chimica Acta 179 (1986) : 91–101. http://dx.doi.org/10.1016/s0003-2670(00)84456-6.

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Osanlou, Ardeshir. « Holographic digital microscopy in on-line process control ». Optical Engineering 50, no 9 (1 septembre 2011) : 091312. http://dx.doi.org/10.1117/1.3605676.

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Gong, Linguo, Wushong Jwo et Kwei Tang. « Using On-Line Sensors in Statistical Process Control ». Management Science 43, no 7 (juillet 1997) : 1017–28. http://dx.doi.org/10.1287/mnsc.43.7.1017.

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Schei, Tor Steinar. « ON-LINE ESTIMATION FOR PROCESS CONTROL AND OPTIMIZATION APPLICATIONS ». IFAC Proceedings Volumes 40, no 5 (2007) : 19–28. http://dx.doi.org/10.3182/20070606-3-mx-2915.00053.

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Wang, Min-Chiang, et Jinfeng Yue. « Economic design of process adjustment for on-line control ». International Journal of Production Research 39, no 5 (janvier 2001) : 809–23. http://dx.doi.org/10.1080/00207540010009697.

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Thèses sur le sujet "On-line process control"

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Oisiovici, Ronia Marques. « Controle "on-line" de colunas de destilação em batelada de alta pureza ». [s.n.], 2001. http://repositorio.unicamp.br/jspui/handle/REPOSIP/267512.

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Orientadores: Sandra Lucia da Cruz, João Alexandre F. R. Pereira
Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Quimica
Made available in DSpace on 2018-07-27T15:50:28Z (GMT). No. of bitstreams: 1 Oisiovici_RoniaMarques_D.pdf: 4098399 bytes, checksum: e53dcc32c80f82bc98dfe9a977ac5466 (MD5) Previous issue date: 2001
Resumo: Os processos em batelada são largamente empregados nas indústrias de Química Fina, produtos bioquímicos, polímeros e fármacos. As plantas em batelada tendem a crescer, já que esse tipo de configuração apresenta características que são desejáveis nas chamadas "plantas do futuro": flexibilidade operacional, resposta rápida às exigências do mercado, capacidade de processar produtos de alta pureza e alto valor agregado. A destilação em batelada, em particular, é a operação unitária mais freqüentemente utilizada nas plantas em batelada. Algumas dificuldades encontradas na sua automação são: fortes não-linearidades, desvios entre o modelo e o processo, ganhos variáveis no tempo, presença de ruídos nas medidas, analisadores de composição "on-line" complexos ou lentos, estimativa do estado do sistema dificil e cara em termos computacionais. O controle de colunas de destilação contínuas de alta pureza é um tópico bastante abordado na literatura. Porém, trabalhos sobre destilação em batelada de alta pureza são escassos e, normalmente, apenas simulações são apresentadas. Esse trabalho teve como objetivo o desenvolvimento de um sistema de controle por inferência para colunas de destilação em batelada de alta pureza robusto às dificuldades de automação encontradas na prática. O algoritmo de controle foi testado por simulação e, para confirmar a aplicabilidade do controlador desenvolvido, corridas experimentais foram realizadas numa coluna de destilação em batelada em escala piloto. Um Filtro de Kalman Estendido (FKE) para colunas de destilação em batelada foi desenvolvido para fornecer estimativas de composições instantâneas a partir de algumas medidas de temperatura. O FKE foi combinado a uma estratégia de controle baseada na estrutura GLC ("Globa1ly Linearizing Control"), resultando num sistema de controle por inferência que mantém constante a composição do produto de topo de colunas de destilação em batelada de alta pureza. O controlador GLC foi testado numa coluna de destilação em batelada em escala piloto com 29 pratos perfurados. As corridas experimentais foram realizadas com o sistema etanol/l-propanol. A interface entre o computador e o processo foi feita através de uma placa ADIDA. Termopares foram utilizados para medir temperaturas instantâneas em alguns estágios da coluna. A cada período de amostragem, o FKE fornece valores de composição instantâneos, utilizando os dados de temperatura lidos pelo computador. Com o objetivo de manter a pureza do produto de topo no valor especificado, o controlador GLC atualiza a razão de refluxo baseado nas estimativas mais recentes de composição. A razão de refluxo calculada é, então, implementada pelo computador que controla a posição e o tempo de abertura da válvula magnética de refluxo. O número de sensores e o intervalo de integração do modelo da coluna foram variáveis importantes no projeto do FKE. Convergência mais rápida e estimativas mais exatas foram obtidas aumentando-se o número de sensores e/ou reduzindo-se o intervalo de integração. No entanto, acima de um certo número de sensores, as melhorias na exatidão das estimativas são insignificantes. Nas corridas em malha fechada, a variável manipulada (razão de refluxo) apresentou um comportamento do tipo liga/desliga quando os sensores de temperatura foram posicionados nos estágios próximos ao topo da coluna, onde as variações de temperatura são pequenas. Afastando-se os sensores do topo da coluna, perfis mais suaves das variáveis manipulada e controlada foram observados e desvios inferiores a 0,2% entre a composição média do destilado estimada e a composição média do destilado medida foram obtidos. Para o controle da composição do destilado de alta pureza, os sensores devem ficar afastados do topo, mas não tão distantes a ponto de diminuir a exatidão das estimativas de composição. Devido à sua robustez em relação aos desvios entre o modelo e o processo, incerteza nas condições iniciais da coluna e a presença de ruídos nas medidas de temperatura, o controlador por inferência desenvolvido nesse trabalho, além de ser flexível, mostrou-se eficaz em aplicações práticas
Abstract: Batch processing has been widely used in the production of fine chemicaIs, biochemicals, polymers and phannaceuticals. Batch configurations present features which are desirable in the ca1led "future plants": flexibility of operation, rapid response to changing market demands, suitability for manufacturing high-quality and high value-added products. Batch distillation is the most frequent separation method in batch processes. Some ofthe challenges to be faced in the automation ofbatch plants are: pronounced nonHnearities, process/model mismatch, time varying process gains, presence of measurement noise, on-line sensors are unavailable or give delayed results, state estimation is difficult and computationally expensive. While the control of high-purity continuous distillation column is a subject often addressed in literature, there are very few papers regarding the control of high-purity batch distillation units. This work aimed to develop an inferential control system for high-purity batch distillation colurnns, which is able to cape with the automation difficulties common1yencountered in practice. The control algorithm was first tested by simulation and then experimental runs were carried out in a pilot-scale batch distillation column to confirm the practical appHcability ofthe designed inferential control system. An Extended Kalman Filter (EKF) for batch distillation columns was developed to provide fast and reHable instantaneous composition values from few temperature measurements. The EKF was then combined with a control strategy based on the Globally Linearizing Control (GLC) structure, resulting in an inferential control system for constant distillate operation of high-purity batch distillation columns. The GLC controller was tested in a pilot-scale batch distillation column with 29 sieve trays. The separation of ethanol/l-propanol mixtures were considered in the experimental runs. The interface between the computer and the process was achieved by an AD/DA converter. Thennocouples were used to measure instantaneous temperature values at some column stages. At each sampling period, the EKF provides instantaneous composition values from the temperature data the computer acquires. In order to keep the product quality at the set-point, the GLC controller updates the reflux ratio using the composition estimates, and the computer controls the position ofthe reflux magnetic valve to implement the calculated reflux ratio. The number of sensors and the model integration interval showed to be important variables in the design ofthe EKF. Faster convergence and more accurate estimates were obtained by increasing the number of sensors and/or reducing the integration intervalo However, above a certain number of sensors the improvement in the EKF performance may not be significant. Spiky reflux ratio profiles were observed when sensors were placed next to the top stages, where the temperature variations are small. As the sensors were placed further from the top stages, smoother manipulated and controlled variable profiles were obtained and the distillate product met the specified purity. The inferential control system achieved tight composition control. The selection of the sensors locations must be a trade-off between obtaining noise reduction and guaranteeing that the EKF will provide acceptable estimate accuracy. Due to its robustness with regards to plant model mismatch, uncertainty in the initial system state and measurement errors, the proposed inferential control scheme is flexible and demonstrated to be feasible for practical on-line applications
Doutorado
Sistemas de Processos Quimicos e Informatica
Doutor em Engenharia Química
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Dowey, Stephen James. « Advanced on-line and off-line process control for surface-engineered applications ». Thesis, University of Hull, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.310319.

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Myerscough, James John. « On-line geometric control of a spray deposition process ». Thesis, University of Oxford, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.320688.

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Belger, I. S. « Real-time on-line control of a fermentation process ». Thesis, Liverpool John Moores University, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.292336.

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Guh, Ruey-Shiang. « On-line statistical process control : a hybrid intelligent approach ». Thesis, University of Nottingham, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.311818.

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Ha, Sungdo. « On-line control of process uniformity using categorized variabilities ». Thesis, Massachusetts Institute of Technology, 1993. http://hdl.handle.net/1721.1/12335.

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Montgomery, Paul Anthony. « On-line optimisation of a multivariable fed-batch fermentation process ». Thesis, Liverpool John Moores University, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.252788.

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Zhang, Jie. « Expert systems in on-line process control and fault diagnosis ». Thesis, City University London, 1991. http://openaccess.city.ac.uk/7682/.

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In this research expert systems for on-line process control and fault diagnosis have been investigated and the majority of the research is on using expert systems in on-line process fault diagnosis. Several on-line expert systems, including a rule based controller and several fault diagnosis systems, have been developed in this research and are reported in this thesis. The research results obtained demonstrate that rule based controllers can be used in situations where mathematical models for the controlled process cannot be obtained or are very difficult to obtain. The research on on-line fault diagnosis emphasises deep knowledge based approaches. Two avenues in deep knowledge based approaches, namely causal search and qualitative modelling based diagnosis, have been investigated. In the approach of causal search the research results reveal that diagnostic efficiency can be achieved through structural decomposition. A systematic approach for developing diagnostic rules based on structural decomposition is presented in this thesis. Much of the research has been done on qualitative model based fault diagnosis. A qualitative reasoning method which utilizes knowledge on the quantitative relations among variables to reduce ambiguity and can cope with a wider range of situations than Raiman's Order of Magnitude Reasoning is investigated. In the qualitative model based diagnosis the function of the qualitative model is to predict the behaviour of the process under various hypotheses and, therefore, to verify these hypotheses. Further research concerning self-reasoning has been done for the qualitative model based diagnosis approach. Self-reasoning is achieved by backward tracing through the model of the diagnosis system and makes this diagnosis system more intelligent. Self-learning of heuristic rules based on qualitative modelling is investigated and heuristic rules can add efficiency to model based diagnosis. During investigating self-learning of heuristic rules, the good learning property of neural networks is recognised and, neural networks based on-line fault diagnoses are also investigated. The research results reveal that neural networks based diagnosis systems are easy to develop and perform robustly provided that the training data are available.
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Fronimidis, Dimitris. « On-line monitoring and control of the injection moulding process ». Thesis, University of Bath, 2007. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.436877.

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Naghdy, G. « Identification, modelling and on-line computer control of a wastewater treatment process ». Thesis, University of Portsmouth, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.370913.

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Livres sur le sujet "On-line process control"

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Nichols, Gary D. On-line process analyzers. New York : John Wiley & Sons, 1988.

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Bastin, G. On-line estimation and adaptive control of bioreactors. Amsterdam : Elsevier, 1990.

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Srivastava, M. S. On Taguchi's on-line control procedures with measurement error. Toronto : University of Toronto, Dpt. of Statistics, 1991.

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A, Holmes Gale, Parnas Richard S, Hunston Donald L et National Institute of Standards and Technology (U.S.), dir. Industry Workshop for On-line Composite Process Monitoring. Gaithersburg, MD : U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1997.

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A, Holmes Gale, Parnas Richard S, Hunston Donald L et National Institute of Standards and Technology (U.S.), dir. Industry Workshop for On-line Composite Process Monitoring. Gaithersburg, MD : U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1997.

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A, Holmes Gale, Parnas Richard S, Hunston Donald L et National Institute of Standards and Technology (U.S.), dir. Industry Workshop for On-line Composite Process Monitoring. Gaithersburg, MD : U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1997.

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A, Holmes Gale, Parnas Richard S, Hunston Donald L et National Institute of Standards and Technology (U.S.), dir. Industry Workshop for On-line Composite Process Monitoring. Gaithersburg, MD : U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1997.

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Srivastava, M. S. Taguchi's on-line control procedures and some improvements. Toronto : University of Toronto, Dept. of Statistics, 1991.

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Srivastava, M. S. An improved version of Taguchi's on-line control procedure. Toronto : University of Toronto, Dept. of Statistics, 1991.

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Annino, Raymond. Process gas chromatography : Fundamentals andapplications : on-line analysis for process monitoring and control. Research Triangle Park, NC : Instrument Society of America, 1992.

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Chapitres de livres sur le sujet "On-line process control"

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Antoch, Jaromír, et Daniela Jarušková. « On-Line Statistical Process Control ». Dans Contributions to Statistics, 87–124. Heidelberg : Physica-Verlag HD, 2002. http://dx.doi.org/10.1007/978-3-642-48710-1_2.

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Schügerl, Karl. « On-Line Process Analysis for Bioreactor Control ». Dans Precision Process Technology, 503–15. Dordrecht : Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1759-3_39.

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Versteeg, H. J., et H. J. Boonstra. « On-line Reactor Monitoring for Precision Process Control ». Dans Precision Process Technology, 601–10. Dordrecht : Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1759-3_46.

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Sandmeier, E. P., J. Keller, E. Heinzle, I. J. Dunn et J. R. Bourne. « Development of an On-Line Pyrolysis Mass Spectrometry System for the On-Line Analysis of Fermentations ». Dans Mass Spectrometry in Biotechnological Process Analysis and Control, 209–15. Boston, MA : Springer US, 1987. http://dx.doi.org/10.1007/978-1-4757-0169-2_16.

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Fergus, Jeffrey W. « Sensors for On-Line Monitoring of Molten Metal Quality ». Dans Sensors, Sampling, and Simulation for Process Control, 15–26. Hoboken, NJ, USA : John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118061800.ch2.

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Cox, Raimond Peter. « Membrane Inlets for on-Line Liquid-Phase Mass Spectrometric Measurements in Bioreactors ». Dans Mass Spectrometry in Biotechnological Process Analysis and Control, 63–74. Boston, MA : Springer US, 1987. http://dx.doi.org/10.1007/978-1-4757-0169-2_6.

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Zhang, Lifeng, Anping Dong et Shusen Li. « Analysis of the Transient Phenomena during Steel Continuous Casting through the On-line Detection Data ». Dans Sensors, Sampling, and Simulation for Process Control, 155–62. Hoboken, NJ, USA : John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118061800.ch18.

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Shetty, Devdas, Noreffendy Tamaldin, Claudio Campana et Jun Kondo. « Utilizing Neural Network for Mechatronics, On-line Inspection And Process Control ». Dans E-Manufacturing : Business Paradigms and Supporting Technologies, 183–94. Boston, MA : Springer US, 2004. http://dx.doi.org/10.1007/978-1-4419-8945-1_19.

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Nielsen, J., K. Nikolajsen et J. Villadsen. « Computer Controlled System for On-line Monitoring of a Fermentation Process ». Dans Computer Applications in Fermentation Technology : Modelling and Control of Biotechnological Processes, 53–57. Dordrecht : Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-1141-3_7.

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Richards, Anthony O’L, Stephen H. Stanley et Howard Dalton. « On-Line Mass Spectrometry in the Analysis of Eight Gases During the Microbial Oxidation of Gaseous Hydrocarbons ». Dans Mass Spectrometry in Biotechnological Process Analysis and Control, 163–77. Boston, MA : Springer US, 1987. http://dx.doi.org/10.1007/978-1-4757-0169-2_13.

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Actes de conférences sur le sujet "On-line process control"

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Morgan, K. E. « Robotics for on-line tinplating process control ». Dans International Conference on Control '94. IEE, 1994. http://dx.doi.org/10.1049/cp:19940159.

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El Ata-doss, S., et J. Brunet. « On-line expert supervision for process control ». Dans 1986 25th IEEE Conference on Decision and Control. IEEE, 1986. http://dx.doi.org/10.1109/cdc.1986.267385.

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Parten, Michael E., R. R. Rhinehart et Vikram Singh. « On-line process-model-based control of a plasma etcher ». Dans Process Module Metrology, Control and Clustering, sous la direction de Cecil J. Davis, Irving P. Herman et Terry R. Turner. SPIE, 1992. http://dx.doi.org/10.1117/12.56639.

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Bomse, David S., D. Christian Hovde, Daniel B. Oh, Joel A. Silver et Alan C. Stanton. « Diode laser spectroscopy for on-line chemical analysis ». Dans SPIE's 1992 Symposium on Process Control and Monitoring, sous la direction de David S. Bomse, Harry Brittain, Stuart Farquharson, Jeremy M. Lerner, Alan J. Rein, Cary Sohl, Terry R. Todd et Lois Weyer. SPIE, 1992. http://dx.doi.org/10.1117/12.137730.

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Mondek, Martin, et Martin Hromcik. « On-line on-board wind estimation system for small UAVs ». Dans 2015 20th International Conference on Process Control (PC). IEEE, 2015. http://dx.doi.org/10.1109/pc.2015.7169991.

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Vachalek, Jan. « On-line identification using hybrid method of regularized exponential forgetting ». Dans 2013 International Conference on Process Control (PC). IEEE, 2013. http://dx.doi.org/10.1109/pc.2013.6581419.

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Duffy, Gerrad, Peter Mills, Qin Li et Ljubo Vlacic. « An on-line process dead-time estimation algorithm ». Dans 2017 11th Asian Control Conference (ASCC). IEEE, 2017. http://dx.doi.org/10.1109/ascc.2017.8287191.

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Seo, Jaho, Amir Khajepour, Jan P. Huissoon et Young-Jun Park. « On-Line Thermal Control for Injection Moulding Process ». Dans ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12570.

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Thermal control is a key issue for injection moulding process due to its effects on production quality and rate. In this study, an on-line thermal control strategy is provided for effective thermal management in plastic injection moulding process. The strategy covers for methods in determining sensor locations as a prerequisite step for modeling and control, identifying a thermal dynamic model of a mould with uncertainties and designing a cavity wall temperature controller. A verification of the designed controller’s performance is carried out from the viewpoints of accuracy in on-line temperature tacking and response time under different injection moulding process with various cycle-times.
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Vickers, Thomas J., et Charles K. Mann. « On-line monitoring by Raman spectroscopy : instrument control and calibration ». Dans Optical Sensing for Environmental and Process Monitoring, sous la direction de Ishwar D. Aggarwal, Stuart Farquharson et Eric Koglin. SPIE, 1995. http://dx.doi.org/10.1117/12.199670.

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Tao Yu et Gaoshan Wang. « Research of on-line process quality control system ». Dans 2008 IEEE International Conference on Automation and Logistics (ICAL). IEEE, 2008. http://dx.doi.org/10.1109/ical.2008.4636174.

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Rapports d'organisations sur le sujet "On-line process control"

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Bruce W. Noel. A DEVELOPMENT OF ON-LINE TEMPERATURE MEASUREMENT INSTRUMENTATION FOR GASIFICATION PROCESS CONTROL. Office of Scientific and Technical Information (OSTI), novembre 2001. http://dx.doi.org/10.2172/812532.

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Bruce W. Noel. A DEVELOPMENT OF ON-LINE TEMPERATURE MEASUREMENT INSTRUMENTATION FOR GASIFICATION PROCESS CONTROL. Office of Scientific and Technical Information (OSTI), novembre 2002. http://dx.doi.org/10.2172/829605.

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Bruce W. Noel. A DEVELOPMENT OF ON-LINE TEMPERATURE MEASUREMENT INSTRUMENTATION FOR GASIFICATION PROCESS CONTROL. Office of Scientific and Technical Information (OSTI), octobre 2000. http://dx.doi.org/10.2172/813680.

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Bruce W. Noel. A DEVELOPMENT OF ON-LINE TEMPERATURE MEASUREMENT INSTRUMENTATION FOR GASIFICATION PROCESS CONTROL. Office of Scientific and Technical Information (OSTI), avril 2001. http://dx.doi.org/10.2172/813681.

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Bruce W. Noel. A DEVELOPOMENT OF ON-LINE TEMPERATURE MEASUREMENT INSTRUMENTATION FOR GASIFICATION PROCESS CONTROL. Office of Scientific and Technical Information (OSTI), avril 2003. http://dx.doi.org/10.2172/820871.

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Pope, N. G., et S. F. Marsh. An improved, computer-based, on-line gamma monitor for plutonium anion exchange process control. Office of Scientific and Technical Information (OSTI), juin 1987. http://dx.doi.org/10.2172/6388890.

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Marsh, S. F., et M. C. Miller. Plutonium process control using an advanced on-line gamma monitor for uranium, plutonium, and americium. Office of Scientific and Technical Information (OSTI), mai 1987. http://dx.doi.org/10.2172/6531128.

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Andre' Moreau, Martin Lord, Daniel Levesqure, Marc Dubois, Jean Bussiere, Jean-Pierre Monchalin, Christian Padioleau et al. AISI/DOE Advanced Process Control Program Vol. 4 of 6 : ON-LINE, NON-DESTRUCTIVE MECHANICAL PROPERTY MEASUREMENT USING LASER-ULTRASOUND. Office of Scientific and Technical Information (OSTI), mars 2001. http://dx.doi.org/10.2172/794988.

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Li, Hong, Gregory F. Piepel, Charles F. Windisch, Yali Su et Michael L. Elliott. Feasibility Study of Using High-Temperature Raman Spectroscopy for On-Line Monitoring and Product Control of the Glass Vitrification Process. Office of Scientific and Technical Information (OSTI), décembre 1998. http://dx.doi.org/10.2172/965242.

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Windisch, C. F. Jr, G. F. Piepel, H. Li, M. L. Elliott et Y. Su. Feasibility Study of Using High-Temperature Raman Spectroscopy for On-Line Monitoring and Product Control of the Glass Vitrification Process. Office of Scientific and Technical Information (OSTI), janvier 1999. http://dx.doi.org/10.2172/2520.

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