DocumentCode :
697274
Title :
Case based reasoning methodology for supervision
Author :
Melendez, Joaquim ; Colomer, Joan ; Macaya, Daniel
Author_Institution :
EXiT Group, Univ. de Girona, Girona, Spain
fYear :
2001
fDate :
4-7 Sept. 2001
Firstpage :
1600
Lastpage :
1605
Abstract :
The methodology of case base reasoning (CBR) is proposed to perform supervisory tasks in industrial process. An outlook of main difficulties in applying this methodology in dynamic systems is contrasted with the benefits of applying it. A generic case definition is proposed to achieve supervisory tasks in the domain of dynamic systems. This methodology has been implemented for improving the control of a batch drier chamber. A discussion related to monitoring a discrete events laboratory plant is also discussed. It includes the definition of similarity functions according to time evolution for case retrieving and its use for diagnosis and fault detection.
Keywords :
case-based reasoning; process control; production engineering computing; CBR; batch drier chamber; case based reasoning methodology; discrete event laboratory plant monitoring; dynamic systems; fault detection; fault diagnosis; industrial process; supervisory tasks; Cognition; Computer aided software engineering; Fault detection; Monitoring; Process control; Registers; Vectors; Case Based Reasoning (CBR); dynamic systems supervision; expert supervision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 2001 European
Conference_Location :
Porto
Print_ISBN :
978-3-9524173-6-2
Type :
conf
Filename :
7076148
Link To Document :
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