Fuzzy Inference System to Automatic Fault Classification in Power Plants

被引：3

作者：

Moreto, M. ^{[2
]}

Cieslak, D. A. G. ^{[1
]}

机构：

[1] Univ Tecnol Fed Parana UTFPR, Pato Branco, Parana, Brazil

[2] Univ Fed Santa Catarina, Florianopolis, SC, Brazil

来源：

IEEE LATIN AMERICA TRANSACTIONS | 2016年 / 14卷 / 02期

关键词：

Fuzzy Logic; Digital Fault Recorder; Power Plant; Oscillographic Records; Electric Power Systems;

D O I：

10.1109/TLA.2016.7437218

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：746 / 751

页数：6

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