Fault diagnosis in internal combustion engines using non-linear multivariate statistics

Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering

Volumn 219, Issue 4, 2005, Pages 243-258

  Antory, D ^a,b   Kruger, U ^a   Irwin, G ^a   McCullough, G ^a  

^a QUEEN'S UNIVERSITY BELFAST   (United Kingdom)

^b UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

Condition monitoring; Diesel engine; Fault diagnosis; Neural network; Non linear

Indexed keywords

ENGINE VARIABLES; FAULT DIAGNOSIS; NON-LINEAR; OPERATING CONDITIONS;

ALGORITHMS; COMPUTER ARCHITECTURE; CONDITION MONITORING; DIESEL ENGINES; FAILURE ANALYSIS; MULTIVARIABLE CONTROL SYSTEMS; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; STATISTICAL METHODS; THERMODYNAMICS;

INTERNAL COMBUSTION ENGINES;

EID: 23444433486     PISSN: 09596518     EISSN: None     Source Type: Journal    
DOI: 10.1243/095965105X9614     Document Type: Article

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