Fault detection process automation in distribution lines using hybrid expert systems

• Grant number: 07/03389-5
• Support Opportunities: Scholarships in Brazil - Doctorate
• Effective date (Start): September 01, 2007
• Effective date (End): February 28, 2011
• Field of knowledge: Engineering - Electrical Engineering - Power Systems
• Principal Investigator: Ivan Nunes da Silva
• Grantee: Danilo Hernane Spatti
• Host Institution: Escola de Engenharia de São Carlos (EESC). Universidade de São Paulo (USP). São Carlos , SP, Brazil

Abstract

The doctorate project entitled "Automation of Processes of Detection of Lacks in Lines of Distribution Using Specialist Hybrid Systems" consists of the development of an automated intelligent system constituted by tools based on computational intelligence (artificial neural networks, fuzzy logic, genetic algorithms, intelligent agents) interlinked with classic techniques of signal processing and systems optimization, in order to develop a unique integrated system in order to identify, locate and classify in an efficient way the several types of faults that can occur in distribution lines, contributing also to minimize the necessary time for restoring the electric power supply.

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

DANILO H. SPATTI; IVAN N. SILVA; WESLEY F. USIDA; ROGÉRIO A. FLAUZINO. Regulação automática de tensão em transformadores de subestação de distribuição usando implementação fuzzy. Sba : Controle & Automação, v. 22, n. 2, p. 169-183, 2011-04-00. (07/03389-5)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

SPATTI, Danilo Hernane. Fault detection process automation in distribution lines using hybrid expert systems. 2011. Doctoral Thesis - Universidade de São Paulo (USP). Escola de Engenharia de São Carlos (EESC/SBD) São Carlos.