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Détail de l'auteur
Auteur Matthew Franchek
Documents disponibles écrits par cet auteur
Affiner la rechercheReal-time diagnosis of the exhaust recirculation in diesel engines using least-squares parameter estimation / Javad Mohammadpour in Transactions of the ASME . Journal of dynamic systems, measurement, and control, Vol. 132 N° 1 (Janvier/Fevrier 2010)
[article]
in Transactions of the ASME . Journal of dynamic systems, measurement, and control > Vol. 132 N° 1 (Janvier/Fevrier 2010) . - 08 p.
Titre : Real-time diagnosis of the exhaust recirculation in diesel engines using least-squares parameter estimation Type de document : texte imprimé Auteurs : Javad Mohammadpour, Auteur ; Karolos Grigoriadis, Auteur ; Matthew Franchek, Auteur Année de publication : 2010 Article en page(s) : 08 p. Note générale : Systèmes dynamiques Langues : Anglais (eng) Mots-clés : Diesel engines Fault diagnosis Flow simulation Least squares approximations Orifices (mechanical) Parameter estimation Recursive estimation Valves Index. décimale : 629.8 Résumé : In this paper, we present a real-time parameter identification approach for diagnosing faults in the exhaust gas recirculation (EGR) system of Diesel engines. The proposed diagnostics method has the ability to detect and estimate the magnitude of a leak or a restriction in the EGR valve, which are common faults in the air handling system of a Diesel engine. Real-time diagnostics is achieved using a recursive-least-squares (RLS) method, as well as, a recursive formulation of a more robust version of the RLS method referred to as recursive total-least-squares method. The method is used to identify the coefficients in a static orifice flow model of the EGR valve. The proposed approach of fault detection is successfully applied to diagnose low-flow or high-flow faults in an engine and is validated using experimental data obtained from a Diesel engine test cell and a truck. DEWEY : 629.8 ISSN : 0022-0434 En ligne : http://asmedl.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=JDSMAA00013200 [...] [article] Real-time diagnosis of the exhaust recirculation in diesel engines using least-squares parameter estimation [texte imprimé] / Javad Mohammadpour, Auteur ; Karolos Grigoriadis, Auteur ; Matthew Franchek, Auteur . - 2010 . - 08 p.
Systèmes dynamiques
Langues : Anglais (eng)
in Transactions of the ASME . Journal of dynamic systems, measurement, and control > Vol. 132 N° 1 (Janvier/Fevrier 2010) . - 08 p.
Mots-clés : Diesel engines Fault diagnosis Flow simulation Least squares approximations Orifices (mechanical) Parameter estimation Recursive estimation Valves Index. décimale : 629.8 Résumé : In this paper, we present a real-time parameter identification approach for diagnosing faults in the exhaust gas recirculation (EGR) system of Diesel engines. The proposed diagnostics method has the ability to detect and estimate the magnitude of a leak or a restriction in the EGR valve, which are common faults in the air handling system of a Diesel engine. Real-time diagnostics is achieved using a recursive-least-squares (RLS) method, as well as, a recursive formulation of a more robust version of the RLS method referred to as recursive total-least-squares method. The method is used to identify the coefficients in a static orifice flow model of the EGR valve. The proposed approach of fault detection is successfully applied to diagnose low-flow or high-flow faults in an engine and is validated using experimental data obtained from a Diesel engine test cell and a truck. DEWEY : 629.8 ISSN : 0022-0434 En ligne : http://asmedl.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=JDSMAA00013200 [...]