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

The vibration environment essentially accompanied by vehicle operation on theground is determined by the shape of road surface, which is called as profile. This paperfocuses on the development of profile measurement and severity analysis system forunpaved test courses. In general, the profile and se...

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Main Authors: Sang-Hwa Goo, Sang-Ho Lee, Do-Kyung Kang
Format: Article
Language:English
Published: MDPI AG 2007-09-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/7/9/2004/
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spelling doaj-600dab895db24f6f809ec0a7729b7b622020-11-25T00:13:17ZengMDPI AGSensors1424-82202007-09-01792004202710.3390/s7092004Development of Standardization and Management System for the Severity of Unpaved Test CoursesSang-Hwa GooSang-Ho LeeDo-Kyung KangThe vibration environment essentially accompanied by vehicle operation on theground is determined by the shape of road surface, which is called as profile. This paperfocuses on the development of profile measurement and severity analysis system forunpaved test courses. In general, the profile and severity of unpaved road is an importantissue in the reliability of endurance test. In order to measure and maintain unpaved roadprofile and severity, it is necessary to develop a profilometer system. The developedprofilometer system is composed of data processing computer, power unit, air compressorand sensors(encoder, vertical gyro and laser displacement). This study presents themeasuring system configuration, measurement principle of road profile and analysismethod 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 isappliedhttp://www.mdpi.com/1424-8220/7/9/2004/Durability TestProfileProfilometerISO8608 StandardSimilarity IndexNeural Network
collection DOAJ
language English
format Article
sources DOAJ
author Sang-Hwa Goo
Sang-Ho Lee
Do-Kyung Kang
spellingShingle Sang-Hwa Goo
Sang-Ho Lee
Do-Kyung Kang
Development of Standardization and Management System for the Severity of Unpaved Test Courses
Sensors
Durability Test
Profile
Profilometer
ISO8608 Standard
Similarity Index
Neural Network
author_facet Sang-Hwa Goo
Sang-Ho Lee
Do-Kyung Kang
author_sort Sang-Hwa Goo
title 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_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_sort development of standardization and management system for the severity of unpaved test courses
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2007-09-01
description The vibration environment essentially accompanied by vehicle operation on theground is determined by the shape of road surface, which is called as profile. This paperfocuses on the development of profile measurement and severity analysis system forunpaved test courses. In general, the profile and severity of unpaved road is an importantissue in the reliability of endurance test. In order to measure and maintain unpaved roadprofile and severity, it is necessary to develop a profilometer system. The developedprofilometer system is composed of data processing computer, power unit, air compressorand sensors(encoder, vertical gyro and laser displacement). This study presents themeasuring system configuration, measurement principle of road profile and analysismethod 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 isapplied
topic Durability Test
Profile
Profilometer
ISO8608 Standard
Similarity Index
Neural Network
url http://www.mdpi.com/1424-8220/7/9/2004/
work_keys_str_mv AT sanghwagoo developmentofstandardizationandmanagementsystemfortheseverityofunpavedtestcourses
AT sangholee developmentofstandardizationandmanagementsystemfortheseverityofunpavedtestcourses
AT dokyungkang developmentofstandardizationandmanagementsystemfortheseverityofunpavedtestcourses
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