Title :
Model based engine torque supervision for diesel engines using the engine speed signal
Author :
Kimmich, Frank ; Isermann, Rolf
Author_Institution :
Inst. of Autom. Control, Darmstadt Univ. of Technol., Germany
Abstract :
New technologies, rising customer demands and severe exhaust gas regulations led to a rapid advancement of combustion engines. Nowadays, engines are characterized by more and more complex structures, whereby maintenance and trouble shooting becomes more and more complicated. Therefore the development of suitable fault detection and diagnosis methods is necessary, whereas model based methods enhance a definite detection of faults according to type, size and location.
Keywords :
automobiles; fault diagnosis; internal combustion engines; complex structures; customer demands; diesel engines; engine speed signal; exhaust gas regulations; fault detection; fault diagnosis; internal combustion engines; maintenance; model based engine torque supervision; trouble shooting; Automatic control; Diesel engines; Equations; Fault detection; Fault diagnosis; Neural networks; Parameter estimation; Signal processing; Testing; Torque;
Conference_Titel :
American Control Conference, 2002. Proceedings of the 2002
Print_ISBN :
0-7803-7298-0
DOI :
10.1109/ACC.2002.1023929
