Weighted and constrained possibilistic C-means clustering for online fault detection and isolation

Applied Intelligence

Volumn 35, Issue 2, 2011, Pages 269-284

  Bahrampour, Soheil ^a   Moshiri, Behzad ^a   Salahshoor, Karim ^b  

^a UNIVERSITY OF TEHRAN   (Iran)

^b PETROLEUM UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Fault detection and isolation; Feature weighting; Possibilistic clustering

Indexed keywords

ALTERNATIVE APPROACH; ATTRIBUTE WEIGHTING; COMPARATIVE STUDIES; DATA SETS; DENSE REGION; ESSENTIAL CHARACTERISTIC; FAULT DETECTION AND ISOLATION; FEATURE WEIGHTING; FUZZY C-MEANS ALGORITHMS; HISTORICAL DATA; IN-PROCESS; INDUSTRIAL CHALLENGES; OFFLINE; ON-LINE FAULT DETECTION; ONLINE MODES; POSSIBILISTIC; POSSIBILISTIC C-MEANS CLUSTERING; POSSIBILISTIC CLUSTERING; PROCESS FAULT DETECTION; PROCESS FAULTS; TENNESSEE EASTMAN; TIME-SERIES SEGMENTATION;

BENCHMARKING; FAULT DETECTION;

CLUSTERING ALGORITHMS;

EID: 80052962516     PISSN: 0924669X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10489-010-0219-2     Document Type: Article

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