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Détail de l'auteur
Auteur DuyQuang Nguyen
Documents disponibles écrits par cet auteur
Affiner la rechercheDesign of nonlinear sensor networks for process plants / DuyQuang Nguyen in Industrial & engineering chemistry research, Vol. 47 n°15 (Août 2008)
[article]
in Industrial & engineering chemistry research > Vol. 47 n°15 (Août 2008) . - p. 5529-5542
Titre : Design of nonlinear sensor networks for process plants Type de document : texte imprimé Auteurs : DuyQuang Nguyen, Auteur ; Miguel J. Bagajewicz, Auteur Année de publication : 2008 Article en page(s) : p. 5529-5542 Note générale : Bibliogr. p.5541-5542 Langues : Anglais (eng) Mots-clés : Nonlinear sensor networks; Nonlinear problem Résumé : In this article we extend and generalize the ideas of two previous articles devoted to linear sensor networks to nonlinear systems. In those previous articles the use of cutsets and a decomposition procedure were proposed and proved efficient to solve large scale linear problems. In this article we show that a similar procedure, now based on a variable elimination scheme, can be also used efficiently for medium size nonlinear problems, but its computational efficiency for realistic large scale problems is not satisfactory. We also propose an alternative technique for the case of tree enumeration using instruments instead of equations that is very efficient for heavily instrumented flowsheets. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie0708778 [article] Design of nonlinear sensor networks for process plants [texte imprimé] / DuyQuang Nguyen, Auteur ; Miguel J. Bagajewicz, Auteur . - 2008 . - p. 5529-5542.
Bibliogr. p.5541-5542
Langues : Anglais (eng)
in Industrial & engineering chemistry research > Vol. 47 n°15 (Août 2008) . - p. 5529-5542
Mots-clés : Nonlinear sensor networks; Nonlinear problem Résumé : In this article we extend and generalize the ideas of two previous articles devoted to linear sensor networks to nonlinear systems. In those previous articles the use of cutsets and a decomposition procedure were proposed and proved efficient to solve large scale linear problems. In this article we show that a similar procedure, now based on a variable elimination scheme, can be also used efficiently for medium size nonlinear problems, but its computational efficiency for realistic large scale problems is not satisfactory. We also propose an alternative technique for the case of tree enumeration using instruments instead of equations that is very efficient for heavily instrumented flowsheets. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie0708778 Optimization of preventive maintenance in chemical process plants / DuyQuang Nguyen in Industrial & engineering chemistry research, Vol. 49 N° 9 (Mai 2010)
[article]
in Industrial & engineering chemistry research > Vol. 49 N° 9 (Mai 2010) . - pp. 4329-4339
Titre : Optimization of preventive maintenance in chemical process plants Type de document : texte imprimé Auteurs : DuyQuang Nguyen, Auteur ; Miguel Bagajewicz, Auteur Année de publication : 2010 Article en page(s) : pp. 4329-4339 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Preventive maintenance Optimization Résumé : In this article, we use a genetic algorithm to obtain an economically optimal preventive maintenance frequency for different equipment, the parts inventory policy (number and type of spare parts to keep in stock), and labor allocation in process plants. To assess cost, we improved a previously published Monte Carlo simulation-based maintenance model (Nguyen et al. Ind. Eng. Chem. Res. 2008, 47(6), 1910−1924). Two examples, a Tennessee Eastman example and a fluid catalytic cracking unit in a refinery, are provided. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=22732920 [article] Optimization of preventive maintenance in chemical process plants [texte imprimé] / DuyQuang Nguyen, Auteur ; Miguel Bagajewicz, Auteur . - 2010 . - pp. 4329-4339.
Industrial chemistry
Langues : Anglais (eng)
in Industrial & engineering chemistry research > Vol. 49 N° 9 (Mai 2010) . - pp. 4329-4339
Mots-clés : Preventive maintenance Optimization Résumé : In this article, we use a genetic algorithm to obtain an economically optimal preventive maintenance frequency for different equipment, the parts inventory policy (number and type of spare parts to keep in stock), and labor allocation in process plants. To assess cost, we improved a previously published Monte Carlo simulation-based maintenance model (Nguyen et al. Ind. Eng. Chem. Res. 2008, 47(6), 1910−1924). Two examples, a Tennessee Eastman example and a fluid catalytic cracking unit in a refinery, are provided. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=22732920 Software accuracy-based sensor network design and upgrade in process plants / DuyQuang Nguyen in Industrial & engineering chemistry research, Vol. 50 N° 9 (Mai 2011)
[article]
in Industrial & engineering chemistry research > Vol. 50 N° 9 (Mai 2011) . - pp. 4850-4857
Titre : Software accuracy-based sensor network design and upgrade in process plants Type de document : texte imprimé Auteurs : DuyQuang Nguyen, Auteur ; Sanjay K. Sugumar, Auteur ; Miguel J. Bagajewicz, Auteur Année de publication : 2011 Article en page(s) : pp. 4850-4857 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Design Software Résumé : In this paper we present a new method for linear and nonlinear sensor network design with applications to variable estimation based on the use of accuracy and residual accuracy. Accuracy has been shown recently to be a better substitute for existing data-reconciliation network properties, such as precision, residual precision, gross error detectability and resilience as pointed out in our previous works (the first two references). We explore the numerical difficulties associated to different ways of calculating accuracy and different methods used to optimize the cost. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24128619 [article] Software accuracy-based sensor network design and upgrade in process plants [texte imprimé] / DuyQuang Nguyen, Auteur ; Sanjay K. Sugumar, Auteur ; Miguel J. Bagajewicz, Auteur . - 2011 . - pp. 4850-4857.
Chimie industrielle
Langues : Anglais (eng)
in Industrial & engineering chemistry research > Vol. 50 N° 9 (Mai 2011) . - pp. 4850-4857
Mots-clés : Design Software Résumé : In this paper we present a new method for linear and nonlinear sensor network design with applications to variable estimation based on the use of accuracy and residual accuracy. Accuracy has been shown recently to be a better substitute for existing data-reconciliation network properties, such as precision, residual precision, gross error detectability and resilience as pointed out in our previous works (the first two references). We explore the numerical difficulties associated to different ways of calculating accuracy and different methods used to optimize the cost. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24128619