Neural network fault classification of transient data in an automotive engine air path

International Journal of Modelling, Identification and Control

Volumn 3, Issue 2, 2008, Pages 148-155

  Sangha, Mahavir S ^a   Barry Gomm, J ^a   Yu, Dingli ^a  

^a LIVERPOOL JOHN MOORES UNIVERSITY   (United Kingdom)

Author keywords

Artificial intelligence; Classification; Engine systems; Fault diagnosis and isolation; Neural networks; NNs; Radial basis function networks

Indexed keywords

ARTIFICIAL INTELLIGENCE; AUTOMOBILE ENGINES; CLASSIFICATION (OF INFORMATION); COMPUTER AIDED DIAGNOSIS; FUNCTIONS; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS;

AUTOMOTIVE ENGINE; COMPONENT FAULTS; ENGINE OPERATIONS; ENGINE SYSTEMS; FAULT DIAGNOSIS AND ISOLATIONS; MEAN VALUE ENGINE MODELS; NEURAL NETWORKS (NNS); RADIAL BASIS FUNCTION(RBF);

FAULT DETECTION;

EID: 48949116201     PISSN: 17466172     EISSN: 17466180     Source Type: Journal    
DOI: 10.1504/IJMIC.2008.019352     Document Type: Article

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