DocumentCode
2193025
Title
Data mining of substation relay data
Author
Chaganti, Mythili ; Chowdhury, Badrul H.
Author_Institution
Dept. of Electr. & Comput. Eng., Missouri-Rolla Univ., Rolla, MO, USA
fYear
2004
fDate
6-10 June 2004
Firstpage
369
Abstract
Data mining aims to make sense of data by revealing meaningful relationships. This paper discusses data mining techniques applied to data recorded by over current relays at several substations. The purpose is to classify faults, verify relay settings and determine fault induced trip per substations. One of the most demanding tasks at hand is to study the data residing in the relays on a statistical basis. C4.5 approach of data mining (decision tree induction) is discussed in this paper.
Keywords
data mining; decision trees; relays; substation protection; data mining; decision tree induction; fault induced trip; over current relay; substation relay data; Classification tree analysis; Data mining; Decision trees; Digital relays; Erbium; Power system faults; Power system measurements; Power system relaying; Substations; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering Society General Meeting, 2004. IEEE
Print_ISBN
0-7803-8465-2
Type
conf
DOI
10.1109/PES.2004.1372814
Filename
1372814
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