bachelorThesis
Diagnóstico automático de unidades geradoras de energia elétrica utilizando lógica nebulosa
Fecha
2014-02-13Registro en:
CIESLAK, Dionatan Augusto Guimarães. Diagnóstico automático de unidades geradoras de energia elétrica utilizando lógica nebulosa. 2014. 68 f. Trabalho de Conclusão de Curso (Graduação) - Universidade Tecnológica Federal do Paraná, Pato Branco, 2014.
Autor
Cieslak, Dionatan Augusto Guimarães
Resumen
This paper presents a methodology based on fuzzy logic that classifies relevant events from generating units. From the waveform records, are extracted values of current and voltage and this values are the inputs of fuzzy inference system. This fuzzy inference system is responsible for relating the inputs to a set of rules based on human knowledge. The outputs of the inference machine are defuzzified and analyzed analytically. This fuzzy system allows that the waveform records are classified, helping the engineers and enabling an optimization of work. The results indicate the effectiveness of this paper.