Comparison of a linear and nonlinear approach to engine misfires detection

Control Engineering Practice

Volumn 10, Issue 10, 2002, Pages 1141-1146

  Ilkivová, Martina Rohál'ová ^a   Ilkiv, Boris Rohal' ^b   Neuschl, Tomáš ^b  

^a Physics and Informatics   (Slovakia)

^b SLOVAK UNIVERSITY OF TECHNOLOGY   (Slovakia)

Author keywords

Engine misfire detection; Extended Kalman filter; RBF neural networks

Indexed keywords

ENGINES; KALMAN FILTERING; NEURAL NETWORKS; ROUGHNESS MEASUREMENT;

ENGINE MISFIRES;

NONLINEAR CONTROL SYSTEMS;

DETECTION METHOD; ENGINE; FAULT DETECTION; NEURAL NETWORK;

EID: 0036808913     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0967-0661(02)00080-1     Document Type: Article

References (7)

1. Engine misfire detection
2. Development on digital filtering technology of crank speed measurement to detect misfire in internal combustion engine at high speed revolution
3. Training multilayer perceptrons with the extended Kalman algorithm