An engine fault diagnosis system using intake manifold pressure signal and Wigner-Ville distribution technique

Expert Systems with Applications

Volumn 38, Issue 1, 2011, Pages 536-544

  Wu, Jian Da ^a   Huang, Cheng Kai ^a  

^a NATIONAL CHANGHUA UNIVERSITY OF EDUCATION   (Taiwan)

Author keywords

Artificial neural network; Fault diagnosis system; Intake manifold pressure; Wigner Ville distribution

Indexed keywords

ARTIFICIAL NEURAL NETWORK; DIAGNOSIS SYSTEMS; ENERGY DIAGRAM; ENERGY SPECTRA; ENGINE DIAGNOSTICS; FAULT CLASSIFICATION; FAULT DIAGNOSIS SYSTEMS; GENERALIZED REGRESSION NEURAL NETWORKS; INTAKE MANIFOLD; NEURAL NETWORK TECHNIQUES; NONSTATIONARY SIGNALS; OPERATING CONDITION; PRESSURE SIGNAL; RADIAL BASIS FUNCTION NEURAL NETWORKS; TIME AND FREQUENCY DOMAINS; TRAINING AND TESTING; WIGNER-VILLE DISTRIBUTION;

AUTOMOBILE ENGINE MANIFOLDS; ENGINES; FAULT TOLERANT COMPUTER SYSTEMS; FEATURE EXTRACTION; RADIAL BASIS FUNCTION NETWORKS; SPECTROSCOPY;

NEURAL NETWORKS;

EID: 77956612819     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.06.099     Document Type: Article

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