Fault diagnosis of turbine based on data-driven

2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009

Volumn 2, Issue , 2009, Pages 499-502

  Liao, Wei ^a,b   Li, Feng ^a   Han, Pu ^b  

^a HEBEI UNIVERSITY OF ENGINEERING   (China)

^b NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

Classification data; Clustering; Data driven; Faultdiagnosis; Optimal presentative point

Indexed keywords

DATA CLUSTERING; DATA-DRIVEN; EUCLIDEAN DISTANCE; FAULT CLASSIFICATION; FAULT DIAGNOSIS; HISTORY DATA; INCONSISTENT SAMPLES; ITERATIVE ALGORITHM; REAL-TIME DATA; REPRESENTATIVE POINT; WEIGHTED DISTANCE;

CLASSIFICATION (OF INFORMATION); CLUSTERING ALGORITHMS; COMPUTER SCIENCE; DATA PROCESSING; FAILURE ANALYSIS; INTELLIGENT COMPUTING; OPTIMIZATION; TURBINES;

CLUSTER ANALYSIS;

EID: 71949129214     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICTA.2009.355     Document Type: Conference Paper

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