Visual dynamic model based on self-organizing maps for supervision and fault detection in industrial processes

Engineering Applications of Artificial Intelligence

Volumn 23, Issue 1, 2010, Pages 8-17

  Fuertes, Juan J ^a   Domínguez, Manuel ^a   Reguera, Perfecto ^a   Prada, Miguel A ^a   Díaz, Ignacio ^b   Cuadrado, Abel A ^b  

^a UNIVERSITY OF LEÓN   (Spain)

^b UNIVERSITY OF OVIEDO   (Spain)

Author keywords

Clustering; Process dynamics; Process supervision; Self organizing maps; Trajectory analysis; Visual data mining

Indexed keywords

3-D SPACE; CLUSTERING PROCESS; DYNAMIC FEATURES; DYNAMIC INFORMATION; FAULT DETECTION AND IDENTIFICATION; FAULT IDENTIFICATIONS; INDUSTRIAL PROCESSS; INPUT DATAS; INPUT SPACE; MULTIDIMENSIONAL DATA; MULTIVARIABLE PROCESS; PROCESS CONDITION; PROCESS SUPERVISION; PROCESS VARIABLES; TRAJECTORY ANALYSIS; VISUAL DATA MINING; VISUAL REPRESENTATIONS;

CLUSTER ANALYSIS; CONFORMAL MAPPING; DATA HANDLING; DATA MINING; DATA VISUALIZATION; FAULT DETECTION; INDUSTRIAL PLANTS; STRENGTH OF MATERIALS; THREE DIMENSIONAL;

SELF ORGANIZING MAPS;

EID: 74649086281     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2009.06.001     Document Type: Article

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