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Development of Standardization and Management System for the Severity of Unpaved Test Courses

The vibration environment essentially accompanied by vehicle operation on the ground is determined by the shape of road surface, which is called as profile. This paper focuses on the development of profile measurement and severity analysis system for unpaved test courses. In general, the profile and...

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Detalles Bibliográficos
Autores principales: Kang, Do-Kyung, Lee, Sang-Ho, Goo, Sang-Hwa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3841860/
https://www.ncbi.nlm.nih.gov/pubmed/28903211
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author Kang, Do-Kyung
Lee, Sang-Ho
Goo, Sang-Hwa
author_facet Kang, Do-Kyung
Lee, Sang-Ho
Goo, Sang-Hwa
author_sort Kang, Do-Kyung
collection PubMed
description The vibration environment essentially accompanied by vehicle operation on the ground is determined by the shape of road surface, which is called as profile. This paper focuses on the development of profile measurement and severity analysis system for unpaved test courses. In general, the profile and severity of unpaved road is an important issue in the reliability of endurance test. In order to measure and maintain unpaved road profile and severity, it is necessary to develop a profilometer system. The developed profilometer system is composed of data processing computer, power unit, air compressor and sensors(encoder, vertical gyro and laser displacement). This study presents the measuring system configuration, measurement principle of road profile and analysis method of road characteristics used at CPG (Chang-won Proving Ground) for this purpose. In order to standardize and manage the severity of unpaved test courses, neural network is applied
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spelling pubmed-38418602013-11-27 Development of Standardization and Management System for the Severity of Unpaved Test Courses Kang, Do-Kyung Lee, Sang-Ho Goo, Sang-Hwa Sensors (Basel) Full Research Paper The vibration environment essentially accompanied by vehicle operation on the ground is determined by the shape of road surface, which is called as profile. This paper focuses on the development of profile measurement and severity analysis system for unpaved test courses. In general, the profile and severity of unpaved road is an important issue in the reliability of endurance test. In order to measure and maintain unpaved road profile and severity, it is necessary to develop a profilometer system. The developed profilometer system is composed of data processing computer, power unit, air compressor and sensors(encoder, vertical gyro and laser displacement). This study presents the measuring system configuration, measurement principle of road profile and analysis method of road characteristics used at CPG (Chang-won Proving Ground) for this purpose. In order to standardize and manage the severity of unpaved test courses, neural network is applied Molecular Diversity Preservation International (MDPI) 2007-09-26 /pmc/articles/PMC3841860/ /pubmed/28903211 Text en © 2007 by MDPI (http://www.mdpi.org). Reproduction is permitted for noncommercial purposes.
spellingShingle Full Research Paper
Kang, Do-Kyung
Lee, Sang-Ho
Goo, Sang-Hwa
Development of Standardization and Management System for the Severity of Unpaved Test Courses
title Development of Standardization and Management System for the Severity of Unpaved Test Courses
title_full Development of Standardization and Management System for the Severity of Unpaved Test Courses
title_fullStr Development of Standardization and Management System for the Severity of Unpaved Test Courses
title_full_unstemmed Development of Standardization and Management System for the Severity of Unpaved Test Courses
title_short Development of Standardization and Management System for the Severity of Unpaved Test Courses
title_sort development of standardization and management system for the severity of unpaved test courses
topic Full Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3841860/
https://www.ncbi.nlm.nih.gov/pubmed/28903211
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