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.

Meeting Name

IEEE Power Engineering Society General Meeting, 2004

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

Data Mining; Decision Tree Induction; Decision Trees; Fault Induced Trip; Over Current Relay; Relays; Substation Protection; Substation Relay Data

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 2004 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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