Application of Fuzzy Logic on Internal Combustion Engines

2011 ◽  
Author(s):  
Vald\ahnio Miranda Ara\aujo ◽  
Gabriel Teixeira Braga ◽  
Fabr\aicio Pujatti ◽  
Marcos Severo Mendes
Keyword(s):  
Fuzzy Logic ◽  
Internal Combustion Engines ◽  
Internal Combustion ◽  
Combustion Engines

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

2019 ◽  
Vol 7 (8) ◽  
pp. 124-135
Author(s):  
Alarico Gonçalves Nascimento Filho ◽  
Jandecy Cabral Leite ◽  
Manoel Henrique Reis Nascimento ◽  
Jorge Almeida Brito Junior ◽  
Carlos Alberto Oliveira de Freitas ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Fault Detection ◽  
Internal Combustion Engines ◽  
Computational Models ◽  
Fuzzy Inference ◽  
Internal Combustion ◽  
Academic Learning ◽  
Combustion Engines ◽  
Educational Approach ◽  
Inference Systems

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.

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