Fault diagnosis of rocket engine ground testing bed based on KPCA and SVM

Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology

Volumn 41, Issue 3, 2009, Pages

  Zhu, Ning ^a   Feng, Zhi Gang ^b   Wang, Qi ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b SHENYANG AEROSPACE UNIVERSITY   (China)

Author keywords

Fault diagnosis; Feature extraction; H SVM for multi classification; KPCA; Liquid propellant rocket engine ground testing bed

Indexed keywords

FAULT DIAGNOSIS; FAULT SAMPLES; FEATURE ANALYSIS; H-SVM FOR MULTI-CLASSIFICATION; KERNEL PRINCIPAL COMPONENT ANALYSIS; KPCA; LIQUID PROPELLANT ROCKET ENGINE GROUND TESTING BED; MULTI CLASSIFIERS; NON LINEARITIES; NON-LINEAR FEATURES; PATTERN RECOGNITION PROBLEMS; PRINCIPAL COMPONENTS; SMALL SAMPLES; TESTING DATUM;

GEARS; IMAGE RETRIEVAL; LIQUID PROPELLANTS; LIQUIDS; MULTILAYER NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; ROCKET ENGINES; ROCKETS; SPACECRAFT PROPULSION; SUPPORT VECTOR MACHINES;

FEATURE EXTRACTION;

EID: 65349196732     PISSN: 03676234     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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