Data Mining of Substation Relay Data
This document has been relocated to http://scholarsmine.mst.edu/ele_comeng_facwork/1521
There was 1 download as of 28 Jun 2016.
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.
This paper has been withdrawn.
