DocumentCode :
3316657
Title :
An application of the L-Fuzzy Concept Theory to the short-circuit detection
Author :
Alcalde, C. ; Burusco, A. ; González, R. Fuentes ; Zubia, I.
Author_Institution :
Escuela Univ. Politecnica, San Sebastian
fYear :
2007
fDate :
23-26 July 2007
Firstpage :
1
Lastpage :
6
Abstract :
There are many technical areas where we can find an application of the L-fuzzy concept theory to the knowledge extraction. Among them, one that seems of special interest is the diagnosis of failures by means of the study of an interval-valued L-fuzzy context. We will concentrate on in the electrical networks and we will construct an interval-valued L-fuzzy context that we will use, when a short-circuit is detected, to determine in what place it has occurred. It will be an alternative to the traditional method of detection of short-circuits by means of relays. In particular, the diagnosis of the short-circuits produced in the electrical network will be analysed in this paper in two different cases: in the first place we will solve the problem in the case of having all the necessary information. Next, we will see how we can obtain a diagnosis when the measurement of the voltages obtained after the short-circuit has taken place is not complete.
Keywords :
fault diagnosis; fuzzy set theory; power system faults; relays; short-circuit currents; L-fuzzy concept theory; electrical networks; failures diagnosis; knowledge extraction; relays; short-circuit detection; Data mining; Earth; Fault diagnosis; Feeds; Fuzzy sets; Impedance; Information analysis; Lattices; Relays; Voltage measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International
Conference_Location :
London
ISSN :
1098-7584
Print_ISBN :
1-4244-1209-9
Electronic_ISBN :
1098-7584
Type :
conf
DOI :
10.1109/FUZZY.2007.4295425
Filename :
4295425
Link To Document :
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