Application of Multisensor Data Fusion Based on RBF Neural Networks for Fault Diagnosis of SAMS

Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002

Volumn , Issue , 2002, Pages 1557-1562

  Fan, Chunling ^a   Jin, Zhihua ^a   Zhang, Jing ^a   Tian, Weifeng ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Fault diagnosis; Multisensor data fusion; RBF neural networks; SAMS

Indexed keywords

ALGORITHMS; FUZZY SETS; KALMAN FILTERING; MATHEMATICAL MODELS; NEURAL NETWORKS; NONLINEAR SYSTEMS; REMOTE SENSING; SATELLITES; SENSORS; COMMUNICATION SATELLITES; COMPUTER AIDED ANALYSIS; INFORMATION TECHNOLOGY; PARALLEL PROCESSING SYSTEMS; RADIAL BASIS FUNCTION NETWORKS; RELIABILITY;

FAULT DIAGNOSIS; MULTISENSOR DATA FUSION; RADIAL BASIS FUNCTION (RBF); RBF NEURAL NETWORKS; SATELLITE ATTITUDE MEASUREMENT SYSTEM (SAMS); DESIGN GAIN MATRIXES; PROCESS FAULTS; SATELLITE ATTITUDE MEASUREMENT SYSTEMS (SAMS);

SENSOR DATA FUSION;

EID: 2342429431     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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