Fault detection and diagnosis for spacecraft using principal component analysis and support vector machines

Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012

Volumn , Issue , 2012, Pages 1984-1988

  Gao, Yu ^a   Yang, Tianshe ^a   Xing, Nan ^a   Xu, Minqiang ^b  

^a Xi'an Satellite Control Center   (China)

^b HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

fault detection; fault diagnosis; principal component analysis (PCA); spacecraft; support vector machine (SVM)

Indexed keywords

BINARY SVM; FAULT DETECTION AND DIAGNOSIS; FAULT TYPES; FEATURE VECTORS; INPUT DATAS; LOW DIMENSIONAL; MULTICLASS SVM; SPACECRAFT SYSTEM;

FAILURE ANALYSIS; FAULT DETECTION; IMAGE RETRIEVAL; INDUSTRIAL ELECTRONICS; INPUT OUTPUT PROGRAMS; PRINCIPAL COMPONENT ANALYSIS; SPACECRAFT;

SUPPORT VECTOR MACHINES;

EID: 84871708903     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIEA.2012.6361054     Document Type: Conference Paper

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