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.
Recommended Citation
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 https://doi.org/10.1109/PES.2004.1372814
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.
Publication Date
01 Jan 2004
