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A novel methodology for combined parameter and function estimation problems / Hosein Molavi in Journal of heat transfer, Vol. 132 N° 12 (Décembre 2010) 

Public ISBD [article]  in Journal of heat transfer > Vol. 132 N° 12 (Décembre 2010) . - pp. [121301-1/11] Titre : A novel methodology for combined parameter and function estimation problems Type de document : texte imprimé Auteurs : Hosein Molavi, Auteur ; Ali Hakkaki-Fard, Auteur ; Ramin K. Rahmani, Auteur Année de publication : 2010 Article en page(s) : pp. [121301-1/11] Note générale : Physique Langues : Anglais (eng) Mots-clés : Box-Kanemasu  method  Conjugate  gradient  method  Function  estimation  Parameter  estimation Index. décimale : 536 Chaleur. Thermodynamique Résumé : This article presents a novel methodology, which is highly efficient and simple to implement, for simultaneous retrieval of a complete set of thermal coefficients in combined parameter and function estimation problems. Moreover, the effect of correlated unknown variables on convergence performance is examined. The present methodology is a combination of two different classical methods: The conjugate gradient method with adjoint problem (CGMAP) and Box–Kanemasu method (BKM). The methodology uses the benefit of CGMAP in handling function estimation problems and BKM for parameter estimation problems. One of the unique features about the present method is that the correlation among the separate unknowns does not disrupt the convergence of the problem. Numerical experiments using measurement errors are performed to verify the efficiency of the proposed method in solving the combined parameter and function estimation problems. The results obtained by the present approach show that the combined procedure can efficiently and reliably estimate the values of the unknown thermal coefficients. DEWEY : 536 ISSN : 0022-1481 En ligne : http://asmedl.aip.org/vsearch/servlet/VerityServlet?KEY=JHTRAO&ONLINE=YES&smode= [...] [article] A novel methodology for combined parameter and function estimation problems [texte imprimé] / Hosein Molavi, Auteur ; Ali Hakkaki-Fard, Auteur ; Ramin K. Rahmani, Auteur . - 2010 . - pp. [121301-1/11]. Physique Langues : Anglais (eng) in Journal of heat transfer > Vol. 132 N° 12 (Décembre 2010) . - pp. [121301-1/11] Mots-clés : Box-Kanemasu  method  Conjugate  gradient  method  Function  estimation  Parameter  estimation Index. décimale : 536 Chaleur. Thermodynamique Résumé : This article presents a novel methodology, which is highly efficient and simple to implement, for simultaneous retrieval of a complete set of thermal coefficients in combined parameter and function estimation problems. Moreover, the effect of correlated unknown variables on convergence performance is examined. The present methodology is a combination of two different classical methods: The conjugate gradient method with adjoint problem (CGMAP) and Box–Kanemasu method (BKM). The methodology uses the benefit of CGMAP in handling function estimation problems and BKM for parameter estimation problems. One of the unique features about the present method is that the correlation among the separate unknowns does not disrupt the convergence of the problem. Numerical experiments using measurement errors are performed to verify the efficiency of the proposed method in solving the combined parameter and function estimation problems. The results obtained by the present approach show that the combined procedure can efficiently and reliably estimate the values of the unknown thermal coefficients. DEWEY : 536 ISSN : 0022-1481 En ligne : http://asmedl.aip.org/vsearch/servlet/VerityServlet?KEY=JHTRAO&ONLINE=YES&smode= [...]