Fault Detection in Internal Combustion Engines Using an Acoustic Signal

1982 ◽  
Author(s):  
Afarin Ordubadi
Keyword(s):  
Fault Detection ◽  
Acoustic Signal ◽  
Internal Combustion Engines ◽  
Internal Combustion ◽  
Combustion Engines

scholarly journals Monitoring System of the Parameters of Operation of internal Combustion Engines in Thermoelectric Plants for Fault Detection

2018 ◽  
Vol 5 (8) ◽  
pp. 175-181
Author(s):  
Paulo Francisco da Silva Ribeiro ◽  
Manoel Henrique Reis Nascimento ◽  
Jorge de Almeida Brito Junior ◽  
Jandecy Cabral Leite ◽  
Carlos Alberto Oliveira de Freitas
Keyword(s):  
Fault Detection ◽  
Monitoring System ◽  
Internal Combustion Engines ◽  
Internal Combustion ◽  
Combustion Engines

scholarly journals Fuzzy Inference System for fault detection in internal combustion engines in Thermoelectric Power Generating Plants

2018 ◽  
Vol 5 (7) ◽  
pp. 240-246
Author(s):  
Alarico Nascimento Gonçalves Filho ◽  
Manoel Henrique Reis Nascimento ◽  
Jorge de Almeida Brito Junior ◽  
Jandecy Cabral Leite ◽  
Carlos Alberto de Oliveira Freitas
Keyword(s):  
Fault Detection ◽  
Thermoelectric Power ◽  
Fuzzy Inference System ◽  
Internal Combustion Engines ◽  
Fuzzy Inference ◽  
Internal Combustion ◽  
Combustion Engines ◽  
Inference System

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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