Nowadays the use of digital fault recorders is common practice in most power system substations and plants. These devices continuously monitor signals such as voltages and currents, aiming to record meaningful alterations in their values. The analysis of the huge amount of Digital Fault Recorder data has become a challenge to the specialized engineers, who have to prioritize some records because, in general, there is not enough time to examine all of them. A bibliographic revision concerning applications of automated DFR data analysis methodologies and the most employed computational techniques are presented in this paper. From this article the reader may gain the necessary fundamentals for starting the development of such automated schemes, helping expert engineers in dealing with the classification of the large amount of data provided by DFR.
Digital fault recorders; oscillography; power systems; computational intelligence
