Sistema de Inferência Fuzzy para Classificação Automática de Faltas em Usinas de Geração. (Fuzzy Inference System to Automatic Fault Classification in Power Plants)

Miguel Moreto (, Dionatan Augusto Guimarães Cieslak (

1Universidade Federal de Santa Catarina
2Universidade Tecnológica Federal do Paraná

This paper appears in: Revista IEEE América Latina

Publication Date: Feb. 2016
Volume: 14,   Issue: 2 
ISSN: 1548-0992

The increase in size of the current electric power systems has led to the development of monitoring techniques that includes online and offline analysis. One of the most common offline techniques is the disturbance records systems, based on oscillographic records, generated by Digital Fault Recorders and allow the analysis of the electrical quantities and logical signal (from protection devices). Generally, in power plants, all the data are centralized in the utility data center and this results in an excess of data that difficults the task of analysis by the specialist engineers. This paper shows a methodology for automatic analysis of disturbances in power plants based on fuzzy reasoning. The objective of the system is to help the engineer responsible for the analysis of the records by means of a pre-classification of data and also, diagnose the relevant occurrences.

Index Terms:
Fuzzy Logic, Digital Fault Recorder, Power Plant, Oscillographic Records, Electric Power Systems   

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