Hybrid intelligent architecture for fault identification in power distribution systems (2009)
- Authors:
- USP affiliated authors: FLAUZINO, ROGÉRIO ANDRADE - EESC ; SILVA, IVAN NUNES DA - EESC
- Unidade: EESC
- Subjects: DISTRIBUIÇÃO DE ENERGIA ELÉTRICA; PROTEÇÃO DE EQUIPAMENTOS ELÉTRICOS
- Language: Inglês
- Imprenta:
- Conference titles: IEEE PES General Meeting
-
ABNT
FLAUZINO, Rogério Andrade et al. Hybrid intelligent architecture for fault identification in power distribution systems. 2009, Anais.. Calgary: IEEE, 2009. . Acesso em: 16 out. 2024. -
APA
Flauzino, R. A., Ziolkowski, V., Silva, I. N. da, & Souza, D. M. B. S. de. (2009). Hybrid intelligent architecture for fault identification in power distribution systems. In . Calgary: IEEE. -
NLM
Flauzino RA, Ziolkowski V, Silva IN da, Souza DMBS de. Hybrid intelligent architecture for fault identification in power distribution systems. 2009 ;[citado 2024 out. 16 ] -
Vancouver
Flauzino RA, Ziolkowski V, Silva IN da, Souza DMBS de. Hybrid intelligent architecture for fault identification in power distribution systems. 2009 ;[citado 2024 out. 16 ] - Efficient allocation of fault indicators in distribution circuits using fuzzy logic
- Neural approach to image classification of electrical insulators for preventive maintenance purposes
- Diagnóstico de transformadores usando sistemas especialistas para integrar resultados de ensaios experimentais
- Methodology for information extraction from oscillograms and its application for high-impedance faults analysis
- Fuzzy control system for voltage regulation in power transformers
- Increasing safety and reliability in power distribution systems from optimized selection of protection devices
- Sistema especialista para análise integrada de ensaios experimentais visando diagnóstico de transformadores de transmissão
- Intelligent systems for the detection of internal faults in power transmission transformers
- Abordagem fuzzy para classificar isoladores elétricos com necessidade de manutenção preventiva
- Real-time voltage regulation in power distribution system using fuzzy control
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