Educational approach for fault detection in Internal Combustion Engines with Matlab Toolbox Fuzzy Logic

• Alarico Gonçalves Nascimento Filho

  Institute of Technology and Galileo Educacción Amazon, Brazil

  Author

• Jandecy Cabral Leite

  Institute of Technology and Galileo Educacción Amazon, Brazil

  Author

• Manoel Henrique Reis Nascimento

  Institute of Technology and Galileo Educacción Amazon, Brazil

  Author

• Jorge Almeida Brito Junior

  Institute of Technology and Galileo Educacción Amazon, Brazil

  Author

• Carlos Alberto Oliveira de Freitas

  Institute of Technology and Galileo Educacción Amazon, Brazil

  Author

• Rafael Teles Rocha

  Department of Operations of Amazonas S.A Power Generator (GERA).

  Author

Fuzzy logic is the logic defined from the theory of fuzzy sets. It differs from the crisp logic (traditional) in their characteristics and their details. In textbooks on fuzzy inference systems, exemplified superficially implementation creating doubts among computer science students. Traditionally, teachers teach IC with the use of conceptual models. This model was to serve specified parameters computing courses, allowing students to study and development of computational models using Matlab Fuzzy Logic Toolbox (MFLT) for fault detection in engines. This paper proposes an academic learning model based on fuzzy inference and modeling to detect incipient faults in components of internal combustion engines.

1. Alarico Gonçalves Nascimento Filho, Institute of Technology and Galileo Educacción Amazon, Brazil

   MSc. Research Department

2. Jandecy Cabral Leite, Institute of Technology and Galileo Educacción Amazon, Brazil

   Dr.,Research Department

3. Manoel Henrique Reis Nascimento, Institute of Technology and Galileo Educacción Amazon, Brazil

   Dr., Research Department

4. Jorge Almeida Brito Junior, Institute of Technology and Galileo Educacción Amazon, Brazil

   Dr., Research Department

5. Carlos Alberto Oliveira de Freitas, Institute of Technology and Galileo Educacción Amazon, Brazil

   Msc., Research Department

6. Rafael Teles Rocha, Department of Operations of Amazonas S.A Power Generator (GERA).

   Project manager 

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Copyright (c) 2019 Alarico Gonçalves Nascimento Filho, Jandecy Cabral Leite, Manoel Henrique Reis Nascimento, Jorge Almeida Brito Junior, Carlos Alberto Oliveira de Freitas, Rafael Teles Rocha

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