The paper deals with a segment of research examining the possibility of application of the theory of recognizing samples as the core of a diagnosing model. System diagnosing is based upon the signals of operation process. Diagnosing rules are determined based upon the sample of diagnosing signals produced by different simulated aspects of system technical condition. The model has been verified in the process of Diesel engine fuel injection system diagnosing. The fuel injection pressure signal in front of the injector has been used as a diagnosing signal.
E.BAZIJANAC: Istraživanje mogućnosti automatskog dijagnosticiranja sistema za ubrizgavanje goriva dizel motora. Doktorska disertacija, VVTŠ, Zagreb, 1991.
J.T.TOU, R.C.GONZALES: Pattern recognition principles. Addison- Wesley Publishing Company, London, 1984.
L.MONOSTORI: Pattern recognition based learning and decision making in complex machine tool monitoring systems. International Federation for Information Processing, Dubrovnik, 1987
Guest Editor: Eleonora Papadimitriou, PhD
Editors: Dario Babić, PhD; Marko Matulin, PhD; Marko Ševrović, PhD.
The mission of our journal is to provide high quality communication of research results, which is crucial for the effectiveness of scientific research, the promotion of scientific information, new ideas, and original research in the field of traffic and transportation engineering.
1848-4069
0353-5320
Proud publisher
Accelerating Discoveries in Traffic Science |
2024 © Promet - Traffic&Transportation journal
