FUZZY INFERENCE SYSTEM FOR FAULT DETECTION IN INTERNAL COMBUSTION ENGINES IN THERMOELECTRIC POWER GENERATING PLANTS
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Tipo do ITEM
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Artigo Ciêntifico
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Título do Artigo
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FUZZY INFERENCE SYSTEM FOR FAULT DETECTION IN INTERNAL COMBUSTION ENGINES IN THERMOELECTRIC POWER GENERATING PLANTS
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Descrição
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ABSTRACT:
In this work, an approach to implement a simplified fuzzy inference model for monitoring the conditions of workings of power generators through the pressure values ??of combustion temperature and engine water pressure is displayed. The model helps the supervisory system, through real-time evaluation of the operating conditions of the engine in percentage rates. The application of tools based on computational intelligence, have shown efficiency in various areas of industrial engineering.
Keywords — Computational intelligence, Fuzzy logic, Internal combustion engine, Monitoring
ARTIGO COMPLETO:
https://ijaers.com/detail/fuzzy-inference-system-for-fault-detection-in-internal-combustion-engines-in-thermoelectric-power-generating-plants/
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Abstract
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ABSTRACT:
In this work, an approach to implement a simplified fuzzy inference model for monitoring the conditions of workings of power generators through the pressure values ??of combustion temperature and engine water pressure is displayed. The model helps the supervisory system, through real-time evaluation of the operating conditions of the engine in percentage rates. The application of tools based on computational intelligence, have shown efficiency in various areas of industrial engineering.
Keywords — Computational intelligence, Fuzzy logic, Internal combustion engine, Monitoring
ARTIGO COMPLETO:
https://ijaers.com/detail/fuzzy-inference-system-for-fault-detection-in-internal-combustion-engines-in-thermoelectric-power-generating-plants/
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Língua do arquivo
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inglês
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Data da Publicação
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Ano Desconhecido
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Autores
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Alarico Gonçalves Nascimento Filho
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Manoel Henrique Reis Nascimento
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Jorge de Almeida Brito Junior
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Jandecy Cabral Leite
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Carlos Alberto de Oliveira Freitas
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Local
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UFPA - MANAUS - 2018
