Expert System Design for Fault Diagnosis in Diesel Engines

Nestor Diego Rivera Campoverde; Juan Fernando Chica Segovia

Expert System Design for Fault Diagnosis in Diesel Engines

Título traducido de la contribución: Diseño de Sistema Experto para Diagnóstico de Fallas en Motores Diesel

Nestor Diego Rivera Campoverde, Juan Fernando Chica Segovia

Producción científica: Contribución a una revista › Artículo

Resumen

En este trabajo se presenta el diseño y desarrollo de un Sistema Experto de Diagnóstico para Motores Diesel Hyundai CRDi 2.0, que ha sido creado en base a la experiencia manejada por dos expertos que puede dar un diagnóstico preciso de fallas para este tipo de motores, considerando las causas y puede dar las acciones apropiadas a tomar. Este sistema se alimenta de los datos obtenidos por las técnicas de Mantenimiento Basado en la Condición, lo que permite incorporar un procedimiento de aislamiento e identificación de fallos basado en los datos. El Sistema Experto se desarrolla utilizando código HTML, y se crea una base de datos de Motores Diesel Hyundai CRDi 2.0 que incluye información relevante sobre: especificaciones del motor, valores de funcionamiento, fallos, causas y procedimientos recomendados para cada situación. Por último, se presenta la estructura del sistema desarrollado, teniendo en cuenta que utiliza los datos del mantenimiento basado en la condición y está integrado en un sistema informático de gestión del mantenimiento.

Título traducido de la contribución	Diseño de Sistema Experto para Diagnóstico de Fallas en Motores Diesel
Idioma original	Inglés estadounidense
Páginas (desde-hasta)	1-10
Número de páginas	10
Publicación	International Journal of Systems Applications, Engineering & Development
Volumen	10
N.º	10
Estado	Publicada - 31 dic. 2016

Palabras clave

Cmms
Condition based maintenance diagnosis
Diesel engine
Expert system
Failure

Areas de Conocimiento del CACES

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

Otros archivos y enlaces

Other Link

Citar esto

@article{cad319b0f40944f594ed5e363c8f5b05,

title = "Expert System Design for Fault Diagnosis in Diesel Engines",

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

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

year = "2016",

month = dec,

day = "31",

language = "English (US)",

volume = "10",

pages = "1--10",

journal = "International Journal of Systems Applications, Engineering & Development",

issn = "2074-1308",

number = "10",

}

TY - JOUR

T1 - Expert System Design for Fault Diagnosis in Diesel Engines

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 including relevant 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 including relevant 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 - Cmms

KW - Condition based maintenance diagnosis

KW - Diesel engine

KW - Expert system

KW - Failure

KW - Cmms

KW - Condition based maintenance diagnosis

KW - Diesel engine

KW - Expert system

KW - Failure

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

M3 - Article

SN - 2074-1308

VL - 10

SP - 1

EP - 10

JO - International Journal of Systems Applications, Engineering & Development

JF - International Journal of Systems Applications, Engineering & Development

IS - 10

ER -

Expert System Design for Fault Diagnosis in Diesel Engines

Resumen

Palabras clave

Areas de Conocimiento del CACES

Otros archivos y enlaces

Huella

Citar esto