Self-organizing self-clustering network: A strategy for unsupervised pattern classification with its application to fault diagnosis

Industrial and Engineering Chemistry Research

Volumn 47, Issue 12, 2008, Pages 4209-4219

  Bhushan, Bharat ^a   Romagnoli, Jose A ^a  

^a LOUISIANA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AMERICAN CHEMICAL SOCIETY (ACS); CLUSTERING TECHNIQUES; CONTINUOUS TANK REACTORS; DATA SETS; FAULT DETECTION AND DIAGNOSIS (FDD); FAULT DIAGNOSIS (FD); FUZZY C-MEAN CLUSTERING; GAUSSIAN; INDUSTRIAL ENVIRONMENTS; INITIAL GUESSES; LEARNING STRATEGIES; MONITORING TOOLS; NETWORK SIZES; NUMBER OF CLUSTERS; NUMBER OF NODES; SELF ORGANIZING; SELF ORGANIZING MAP (SOM); UNSUPERVISED PATTERN CLASSIFICATION; VIRTUAL PLANTS;

CLASSIFICATION (OF INFORMATION); CLUSTER ANALYSIS; CONFORMAL MAPPING; ELECTRIC FAULT CURRENTS; FAULT DETECTION; FLOW OF SOLIDS; FUZZY LOGIC; INDUSTRIAL APPLICATIONS; PROCESS ENGINEERING;

FUZZY CLUSTERING;

EID: 47249154814     PISSN: 08885885     EISSN: None     Source Type: Journal    
DOI: 10.1021/ie071549a     Document Type: Article

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