Data Mining of Substation Relay Data
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
M. Chaganti and B. H. Chowdhury, "Data Mining of Substation Relay Data," 2004 IEEE Power Engineering Society General Meeting, vol. 1, pp. 369 - 375, Institute of Electrical and Electronics Engineers, Dec 2004.
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Data Mining; Decision tree; Fault classification; Over current relays
International Standard Book Number (ISBN)
978-078038465-1
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Dec 2004
