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.
B. H. Chowdhury and M. Chaganti, "Data Mining of Substation Relay Data," Proceedings of the IEEE Power Engineering Society General Meeting, 2004, Institute of Electrical and Electronics Engineers (IEEE), Jan 2004.
The definitive version is available at http://dx.doi.org/10.1109/PES.2004.1372814
IEEE Power Engineering Society General Meeting, 2004
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
Article - Conference proceedings
© 2004 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.