An Expert System Application for Diesel Engines Diagnosis

Nestor Diego Rivera Campoverde; Juan Fernando Chica Segovia

An Expert System Application for Diesel Engines Diagnosis

Título traducido de la contribución: Una aplicación de sistema experto para el diagnóstico de motores diesel

Nestor Diego Rivera Campoverde, Juan Fernando Chica Segovia

Producción científica: Contribución a una conferencia › Documento

Resumen

En este trabajo se presenta el diseño y desarrollo de un Sistema Experto de Diagnóstico para Motores Hyundai Diésel CRDi 2.0, que ha sido creado en base a la experiencia manejada por dos expertos que pueden dar un diagnóstico preciso de fallas para este tipo de motor, considerando las causas y puede dar las acciones apropiadas a tomar. Este sistema se alimenta con datos obtenidos mediante técnicas de Condition Based Maintenance, lo que permite incorporar un procedimiento de aislamiento e identificación de fallos en base a los datos. El sistema experto se desarrolla utilizando código HTML y se crea una base de datos Hyundai Diesel Engines CRDi 2.0 que incluye información relevante sobre: especificaciones del motor, valores de funcionamiento, fallas, causas y procedimientos recomendados para cada situación. Finalmente, se presenta la estructura del sistema desarrollado, considerando que utiliza datos de Mantenimiento Basado en Condición y está embebido en un Sistema de Gestión de Mantenimiento Computarizado.

Título traducido de la contribución	Una aplicación de sistema experto para el diagnóstico de motores diesel
Idioma original	Inglés estadounidense
Estado	Publicada - 31 dic. 2016
Evento	6th European Conference of Computer Science (ECCS '15) - IT Duración: 7 sep. 2015 → 9 sep. 2015 http://www.informatics-europe.org/ecss/ecss-2015.html

Conferencia

Conferencia	6th European Conference of Computer Science (ECCS '15)
Período	7/09/15 → 9/09/15
Dirección de internet	http://www.informatics-europe.org/ecss/ecss-2015.html

Palabras clave

Diesel engine
Cmms
Expert system
Failure
Condition based maintenance diagnosis

Areas de Conocimiento del CACES

617A Diseño y construcción de vehículos, barcos y aeronaves motorizadas

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title = "An Expert System Application for Diesel Engines Diagnosis",

abstract = "In this work it{\textquoteright}s presented the design and development of a Diagnosis Expert System for Hyundai Diesel Engines CRDi 2.0, that has been created based on the expertise handle by two experts that can give an accurate fault diagnosis for this kind of engine, considering the causes and can give the appropriate actions to be taken. This system is feed with data obtained by Condition Based Maintenance techniques, which allows incorporating a failure isolation and identification procedure based on the data. The Expert System is developed using HTML code, and a Hyundai Diesel Engines CRDi 2.0 database is created includingrelevant information concerning: engine specifications, operating values, faults, causes and recommended procedures for each situation. Finally, the structure of the developed system is presented, considering that it uses Condition Based Maintenance data and is embedded in a Computerized Maintenance Management System.",

keywords = "Diesel engine, Cmms, Expert system, Failure, Condition based maintenance diagnosis, Diesel engine, Cmms, Expert system, Failure, Condition based maintenance diagnosis",

author = "{Rivera Campoverde}, {Nestor Diego} and {Chica Segovia}, {Juan Fernando}",

year = "2016",

month = dec,

day = "31",

language = "English (US)",

note = "6th European Conference of Computer Science (ECCS '15) ; Conference date: 07-09-2015 Through 09-09-2015",

url = "http://www.informatics-europe.org/ecss/ecss-2015.html",

}

TY - CONF

T1 - An Expert System Application for Diesel Engines Diagnosis

AU - Rivera Campoverde, Nestor Diego

AU - Chica Segovia, Juan Fernando

PY - 2016/12/31

Y1 - 2016/12/31

N2 - In this work it’s presented the design and development of a Diagnosis Expert System for Hyundai Diesel Engines CRDi 2.0, that has been created based on the expertise handle by two experts that can give an accurate fault diagnosis for this kind of engine, considering the causes and can give the appropriate actions to be taken. This system is feed with data obtained by Condition Based Maintenance techniques, which allows incorporating a failure isolation and identification procedure based on the data. The Expert System is developed using HTML code, and a Hyundai Diesel Engines CRDi 2.0 database is created includingrelevant information concerning: engine specifications, operating values, faults, causes and recommended procedures for each situation. Finally, the structure of the developed system is presented, considering that it uses Condition Based Maintenance data and is embedded in a Computerized Maintenance Management System.

AB - In this work it’s presented the design and development of a Diagnosis Expert System for Hyundai Diesel Engines CRDi 2.0, that has been created based on the expertise handle by two experts that can give an accurate fault diagnosis for this kind of engine, considering the causes and can give the appropriate actions to be taken. This system is feed with data obtained by Condition Based Maintenance techniques, which allows incorporating a failure isolation and identification procedure based on the data. The Expert System is developed using HTML code, and a Hyundai Diesel Engines CRDi 2.0 database is created includingrelevant information concerning: engine specifications, operating values, faults, causes and recommended procedures for each situation. Finally, the structure of the developed system is presented, considering that it uses Condition Based Maintenance data and is embedded in a Computerized Maintenance Management System.

KW - Diesel engine

KW - Cmms

KW - Expert system

KW - Failure

KW - Condition based maintenance diagnosis

KW - Diesel engine

KW - Cmms

KW - Expert system

KW - Failure

KW - Condition based maintenance diagnosis

UR - https://www.naun.org/main/UPress/saed/2016/a362003-190.pdf

M3 - Paper

T2 - 6th European Conference of Computer Science (ECCS '15)

Y2 - 7 September 2015 through 9 September 2015

ER -

An Expert System Application for Diesel Engines Diagnosis

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