DocumentCode :
503959
Title :
The Rule Extraction of Fault Classification Based on Formal Concept Analysis
Author :
Zhou, Chunlai
Author_Institution :
Commun. Univ. of China, Beijing, China
Volume :
2
fYear :
2009
fDate :
19-21 May 2009
Firstpage :
155
Lastpage :
159
Abstract :
An approach to extract the fault classification rules based on formal concept analysis is presented. According to the features of the real time database of the surveillance system, designed a method to transfer the records of the real database to formal context as well as to construct concept lattice, then extracted the association rules and fault classification rules. The association rule reflects the relationship among fault phenomena, and the fault classification rule indicates the fault type. A good result is gotten when the approach is used to the intelligent surveillance system of broadcasting transmitters.
Keywords :
SCADA systems; data mining; surveillance; association rules; broadcasting transmitters; fault classification; formal concept analysis; intelligent surveillance system; real time database; rule extraction; Association rules; Data analysis; Data mining; Design methodology; Lattices; Real time systems; SCADA systems; Software engineering; Spatial databases; Surveillance; Concept Lattice; Fault classification rule; Real time database; Surveillance system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering, 2009. WCSE '09. WRI World Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3570-8
Type :
conf
DOI :
10.1109/WCSE.2009.215
Filename :
5319689
Link To Document :
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