DocumentCode :
2466966
Title :
Distribution communication substructure fault analysis by data mining
Author :
Eini, Bahman Jamshidi ; Asl, Mofid Ahmadi ; Vasigh, Reza ; Shafiei, H.
Author_Institution :
Alborz PPDC, Sharif Univ. of Technol., Tehran, Iran
fYear :
213
fDate :
10-13 June 213
Firstpage :
1
Lastpage :
4
Abstract :
The communication between control centers, contact centers, field technicians and customers have been changed in previous decade and traditional analogue communication devices have been being replaced by integrated digital systems. Nowadays communication and computer network substructures are vital to distribution companies because communication system interruption can disrupt majority of services. Therefore, it is necessary to control any situation which can threat communication system. Alborz province power distribution company uses data mining methods like classification and clustering in addition to quantitative statistics for analyzing historical fault data. The result of this study is useful for evaluating the effect of investment on reducing system disruption. In this paper, after introducing methods which were used in this study, the concise result of data mining was presented.
Keywords :
computer networks; data analysis; data mining; investment; power distribution faults; power engineering computing; Alborz province power distribution company; analogue communication devices; communication system; computer network substructures; data mining methods; distribution communication substructure fault analysis; historical fault data analysis; integrated digital systems; investment effect evaluation; quantitative statistics;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Electricity Distribution (CIRED 2013), 22nd International Conference and Exhibition on
Conference_Location :
Stockholm
Electronic_ISBN :
978-1-84919-732-8
Type :
conf
DOI :
10.1049/cp.2013.0588
Filename :
6683191
Link To Document :
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