[article]
Titre : |
Precedent-free fault isolation in a diesel engine exhaust gas recirculation system |
Type de document : |
texte imprimé |
Auteurs : |
Michael E. Cholette, Auteur ; Dragan Djurdjanovic, Auteur |
Année de publication : |
2012 |
Article en page(s) : |
11 p. |
Note générale : |
Dynamic systemss |
Langues : |
Anglais (eng) |
Mots-clés : |
Fault detection and isolation (FDI) Multiple input, multiple output (MIMO) systems Exhaust gas recirculation (EGR) system Automotive engine Growing structure model (GSMMS) |
Index. décimale : |
629.8 |
Résumé : |
In this paper, a recently introduced model-based method for precedent-free fault detection and isolation (FDI) is modified to deal with multiple input, multiple output (MIMO) systems and is applied to an automotive engine with exhaust gas recirculation (EGR) system. Using normal behavior data generated by a high fidelity engine simulation, the growing structure multiple model system (GSMMS) approach is used to construct dynamic models of normal behavior for the EGR system and its constituent subsystems. Using the GSMMS models as a foundation, anomalous behavior is detected whenever statistically significant departures of the most recent modeling residuals away from the modeling residuals displayed during normal behavior are observed. By reconnecting the anomaly detectors (ADs) to the constituent subsystems, EGR valve, cooler, and valve controller faults are isolated without the need for prior training using data corresponding to particular faulty system behaviors. |
DEWEY : |
629.8 |
ISSN : |
0022-0434 |
En ligne : |
http://asmedl.org/getabs/servlet/GetabsServlet?prog=normal&id=JDSMAA000134000003 [...] |
in Transactions of the ASME . Journal of dynamic systems, measurement, and control > Vol. 134 N° 3 (Mai 2012) . - 11 p.
[article] Precedent-free fault isolation in a diesel engine exhaust gas recirculation system [texte imprimé] / Michael E. Cholette, Auteur ; Dragan Djurdjanovic, Auteur . - 2012 . - 11 p. Dynamic systemss Langues : Anglais ( eng) in Transactions of the ASME . Journal of dynamic systems, measurement, and control > Vol. 134 N° 3 (Mai 2012) . - 11 p.
Mots-clés : |
Fault detection and isolation (FDI) Multiple input, multiple output (MIMO) systems Exhaust gas recirculation (EGR) system Automotive engine Growing structure model (GSMMS) |
Index. décimale : |
629.8 |
Résumé : |
In this paper, a recently introduced model-based method for precedent-free fault detection and isolation (FDI) is modified to deal with multiple input, multiple output (MIMO) systems and is applied to an automotive engine with exhaust gas recirculation (EGR) system. Using normal behavior data generated by a high fidelity engine simulation, the growing structure multiple model system (GSMMS) approach is used to construct dynamic models of normal behavior for the EGR system and its constituent subsystems. Using the GSMMS models as a foundation, anomalous behavior is detected whenever statistically significant departures of the most recent modeling residuals away from the modeling residuals displayed during normal behavior are observed. By reconnecting the anomaly detectors (ADs) to the constituent subsystems, EGR valve, cooler, and valve controller faults are isolated without the need for prior training using data corresponding to particular faulty system behaviors. |
DEWEY : |
629.8 |
ISSN : |
0022-0434 |
En ligne : |
http://asmedl.org/getabs/servlet/GetabsServlet?prog=normal&id=JDSMAA000134000003 [...] |
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