Documents disponibles écrits par cet auteur

A Hybrid fault detection and isolation strategy for a network of unmanned vehicles in presence of large environmental disturbances / N. Meskin in IEEE Transactions on control systems technology, Vol. 18 N° 6 (Novembre 2010) 

Public ISBD [article]  in IEEE Transactions on control systems technology > Vol. 18 N° 6 (Novembre 2010) . - pp. 1422-1429 Titre : A Hybrid fault detection and isolation strategy for a network of unmanned vehicles in presence of large environmental disturbances Type de document : texte imprimé Auteurs : N. Meskin, Auteur ; Khorasani, K., Auteur ; Rabbath, C. A., Auteur Année de publication : 2011 Article en page(s) : pp. 1422-1429 Note générale : Génie Aérospatial Langues : Anglais (eng) Mots-clés : Fault  detection  and  isolation  (FDI)  Hybrid  fault  diagnosis  Large  environmental  disturbances  Network  of  unnanned  systems Index. décimale : 629.1 Résumé : In this brief, the problem of designing and developing a hybrid fault detection and isolation (FDI) scheme for a network of unmanned vehicles (NUVs) that is subject to large environmental disturbances is investigated. The proposed FDI algorithm is a hybrid architecture that is composed of a bank of continuous-time residual generators and a discrete-event system (DES) fault diagnoser. A novel set of residuals is generated so that the DES fault diagnoser empowered by incorporating appropriate combinations of the residuals and their sequential features will robustly detect and isolate faults in the NUVs. Our proposed hybrid FDI algorithm is then applied to actuator fault detection and isolation in a network of quad-rotors. Simulation results demonstrate and validate the performance capabilities of our proposed hybrid FDI algorithm. DEWEY : 629.1 ISSN : 1063-6536 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5378507 [article] A Hybrid fault detection and isolation strategy for a network of unmanned vehicles in presence of large environmental disturbances [texte imprimé] / N. Meskin, Auteur ; Khorasani, K., Auteur ; Rabbath, C. A., Auteur . - 2011 . - pp. 1422-1429. Génie Aérospatial Langues : Anglais (eng) in IEEE Transactions on control systems technology > Vol. 18 N° 6 (Novembre 2010) . - pp. 1422-1429 Mots-clés : Fault  detection  and  isolation  (FDI)  Hybrid  fault  diagnosis  Large  environmental  disturbances  Network  of  unnanned  systems Index. décimale : 629.1 Résumé : In this brief, the problem of designing and developing a hybrid fault detection and isolation (FDI) scheme for a network of unmanned vehicles (NUVs) that is subject to large environmental disturbances is investigated. The proposed FDI algorithm is a hybrid architecture that is composed of a bank of continuous-time residual generators and a discrete-event system (DES) fault diagnoser. A novel set of residuals is generated so that the DES fault diagnoser empowered by incorporating appropriate combinations of the residuals and their sequential features will robustly detect and isolate faults in the NUVs. Our proposed hybrid FDI algorithm is then applied to actuator fault detection and isolation in a network of quad-rotors. Simulation results demonstrate and validate the performance capabilities of our proposed hybrid FDI algorithm. DEWEY : 629.1 ISSN : 1063-6536 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5378507

Nonlinear fault diagnosis of jet engines by using a multiple model-based approach / E. Naderi in Transactions of the ASME . Journal of engineering for gas turbines and power, Vol. 134 N° 1 (Janvier 2012) 

Public ISBD [article]  in Transactions of the ASME . Journal of engineering for gas turbines and power > Vol. 134 N° 1 (Janvier 2012) . - 10 p. Titre : Nonlinear fault diagnosis of jet engines by using a multiple model-based approach Type de document : texte imprimé Auteurs : E. Naderi, Auteur ; N. Meskin, Auteur ; Khorasani, K., Auteur Année de publication : 2012 Article en page(s) : 10 p. Note générale : Génie mécanique Langues : Anglais (eng) Mots-clés : Actuators  Compressors  Fault  diagnosis  Gas  turbines  Jet  engines  Kalman  filters Index. décimale : 620.1 Essais des matériaux. Défauts des matériaux. Protection des matériaux Résumé : In this paper, a nonlinear fault detection and isolation (FDI) scheme that is based on the concept of multiple model approach is proposed for jet engines. A modular and a hierarchical architecture is proposed which enables the detection and isolation of both single as well as concurrent permanent faults in the engine. A set of nonlinear models of the jet engine in which compressor and turbine maps are used for performance calculations corresponding to various operating modes of the engine (namely, healthy and different fault modes) is obtained. Using the multiple model approach, the probabilities corresponding to the engine modes of operation are first generated. The current operating mode of the system is then detected based on evaluating the maximum probability criteria. The performance of our proposed multiple model FDI scheme is evaluated by implementing both the extended Kalman filter and the unscented Kalman filter as detection filters. Simulation results presented demonstrate the effectiveness of our proposed multiple model FDI algorithm for both structural and actuator faults in the jet engine. DEWEY : 620.1 ISSN : 0742-4795 En ligne : http://asmedl.org/getabs/servlet/GetabsServlet?prog=normal&id=JETPEZ000134000001 [...] [article] Nonlinear fault diagnosis of jet engines by using a multiple model-based approach [texte imprimé] / E. Naderi, Auteur ; N. Meskin, Auteur ; Khorasani, K., Auteur . - 2012 . - 10 p. Génie mécanique Langues : Anglais (eng) in Transactions of the ASME . Journal of engineering for gas turbines and power > Vol. 134 N° 1 (Janvier 2012) . - 10 p. Mots-clés : Actuators  Compressors  Fault  diagnosis  Gas  turbines  Jet  engines  Kalman  filters Index. décimale : 620.1 Essais des matériaux. Défauts des matériaux. Protection des matériaux Résumé : In this paper, a nonlinear fault detection and isolation (FDI) scheme that is based on the concept of multiple model approach is proposed for jet engines. A modular and a hierarchical architecture is proposed which enables the detection and isolation of both single as well as concurrent permanent faults in the engine. A set of nonlinear models of the jet engine in which compressor and turbine maps are used for performance calculations corresponding to various operating modes of the engine (namely, healthy and different fault modes) is obtained. Using the multiple model approach, the probabilities corresponding to the engine modes of operation are first generated. The current operating mode of the system is then detected based on evaluating the maximum probability criteria. The performance of our proposed multiple model FDI scheme is evaluated by implementing both the extended Kalman filter and the unscented Kalman filter as detection filters. Simulation results presented demonstrate the effectiveness of our proposed multiple model FDI algorithm for both structural and actuator faults in the jet engine. DEWEY : 620.1 ISSN : 0742-4795 En ligne : http://asmedl.org/getabs/servlet/GetabsServlet?prog=normal&id=JETPEZ000134000001 [...]