A new integrated on-line fuzzy clustering and segmentation methodology with adaptive PCA approach for process monitoring and fault detection and diagnosis

Soft Computing

Volumn 17, Issue 3, 2013, Pages 345-362

  Alaei, Hesam Komari ^a   Salahshoor, Karim ^a   Alaei, Hamed Komari ^b  

^a PETROLEUM UNIVERSITY OF TECHNOLOGY   (Iran)

^b FERDOWSI UNIVERSITY OF MASHHAD   (Iran)

Author keywords

Adaptive PCA; Fault detection and isolation; Gath Geva algorithm; On line clustering; On line weight (OW); On line weighted fuzzy C means; Time series data

Indexed keywords

FAULT DETECTION; FUZZY CLUSTERING; FUZZY SYSTEMS; MEMBERSHIP FUNCTIONS; MERGING; PROCESS MONITORING; TIME SERIES;

ADAPTIVE PCA; FAULT DETECTION AND ISOLATION; GATH-GEVA ALGORITHMS; ON-LINE WEIGHT (OW); ONLINE-CLUSTERING; TIME-SERIES DATA; WEIGHTED FUZZY C-MEANS;

CLUSTERING ALGORITHMS;

EID: 84873745848     PISSN: 14327643     EISSN: 14337479     Source Type: Journal    
DOI: 10.1007/s00500-012-0910-9     Document Type: Article

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