A novel KFCM based fault diagnosis method for unknown faults in satellite reaction wheels

ISA Transactions

Volumn 51, Issue 2, 2012, Pages 309-316

  Hu, Di ^a   Sarosh, Ali ^a   Dong, Yun Feng ^a  

^a BEIHANG UNIVERSITY   (China)

Author keywords

Fault detection and diagnosis; Fuzzy clustering; Kernel fuzzy c means clustering; Reaction wheel; Satellite attitude control system; Similarity

Indexed keywords

ATTITUDE CONTROL; C (PROGRAMMING LANGUAGE); CLUSTERING ALGORITHMS; COMMUNICATION SATELLITES; CONTROL SYSTEMS; FAILURE ANALYSIS; FLIGHT DYNAMICS; FUZZY CLUSTERING; FUZZY SYSTEMS; LEARNING ALGORITHMS; NAVIGATION; SATELLITES; WHEELS;

FAULT DETECTION AND DIAGNOSIS; FUZZY C MEANS CLUSTERING; REACTION WHEELS; SATELLITE ATTITUDE CONTROL SYSTEMS; SIMILARITY;

FAULT DETECTION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; CLUSTER ANALYSIS; COMPUTER SIMULATION; EQUIPMENT; EQUIPMENT DESIGN; FUZZY LOGIC; REPRODUCIBILITY; SPACE FLIGHT; STATISTICAL ANALYSIS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; EQUIPMENT DESIGN; EQUIPMENT FAILURE; FUZZY LOGIC; NEURAL NETWORKS (COMPUTER); REPRODUCIBILITY OF RESULTS; SPACECRAFT;

EID: 84857045970     PISSN: 00190578     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isatra.2011.10.005     Document Type: Article

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