DocumentCode
300613
Title
Fault detection schemes for a diesel engine turbocharger
Author
Ludwig, C. ; Ayoubi, M.
Author_Institution
Inst. of Control Eng., Tech. Univ. Darmstadt, Germany
Volume
3
fYear
1995
fDate
21-23 Jun 1995
Firstpage
2118
Abstract
In this paper two model based methods for real time fault detection of Diesel engine turbochargers are presented and compared. Fault detection schemes which are based on residual generation between the measured and some estimated process states require precise mathematical models of the process. One approach is utilizing parametric nonlinear dynamic models, whereas the other method uses artificial neural networks with distributed dynamics for modeling
Keywords
failure analysis; internal combustion engines; modelling; neural nets; nonlinear dynamical systems; artificial neural networks; diesel engine turbocharger; distributed dynamics; parametric nonlinear dynamic models; real-time fault detection; residual generation; Artificial neural networks; Control engineering; Diesel engines; Electronic mail; Fault detection; Mathematical model; Nonlinear dynamical systems; Nonlinear equations; Nonlinear systems; State estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, Proceedings of the 1995
Conference_Location
Seattle, WA
Print_ISBN
0-7803-2445-5
Type
conf
DOI
10.1109/ACC.1995.531272
Filename
531272
Link To Document