Neural network applications for model based fault detection with parity equations

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 35, Issue 1, 2002, Pages 205-210

  Schwarte, A ^a   Isermann, R ^a  

^a DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

Fault detection; Identification; Modelling; Neural network models; Real time

Indexed keywords

AUTOMATION; AUTOMOBILE MANUFACTURE; COMPLEX NETWORKS; DIESEL ENGINES; FUEL CONSUMPTION; IDENTIFICATION (CONTROL SYSTEMS); IGNITION; MODELS; REPAIR; THERMODYNAMICS;

FAULT DETECTION ALGORITHM; LOCAL LINEAR MODEL TREE; MODEL-BASED FAULT DETECTION; NEURAL NETWORK APPLICATION; NEURAL NETWORK MODEL; ON-LINE FAULT DETECTION; RAPID CONTROL PROTOTYPING; REAL TIME;

FAULT DETECTION;

EID: 84866936261     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20020721-6-es-1901.01502     Document Type: Conference Paper

References (4)

1. Heywood, J. B. (1988), Internal Combustion Engine Fundamentals, McGraw-Hill, Inc.
2. Nelles, O. (1999), Nonlinear System Identification with Local Linear Neuro-Fuzzy Models, Shaker Verlag, Aachen.
3. Nelles, O. (2001), Nonlinear System Identification, Springer-Verlag, Berlin Heidelberg.
4. Schwarte, A., Kimmich, F. and Isermann, R. (2001), Modellgestützte präventive Diagnosemethoden (Fehlerfrüherkennung) für Dieselmotoren, FVV-Abschlussbericht, Heft 708, Forschungsvereinigung Verbrennungskraftmaschinen e.V., Frankfurt am Main.