Assessment of the motor vehicle reliability key indicators

Considered is a problem of longevity estimation and guaranteeing the preplanned lifespan of the automobile’s parts, assemblies and structural units. The main statistical indicators of machine parts durability include such parameters as their gamma-percentile life and the mean lifespan index. Estimat...

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Main Authors: Valery G. Maksimov, Alexander D. Nitsevich, Oleksiy А. Tkachev
Format: Article
Language:English
Published: Odessa National Polytechnic University 2015-03-01
Series:Trudy Odesskogo Politehničeskogo Universiteta
Subjects:
Online Access:http://pratsi.opu.ua/articles/show/1139
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spelling doaj-48f3951a045542a5868fde01954d4ade2020-11-24T23:23:20ZengOdessa National Polytechnic UniversityTrudy Odesskogo Politehničeskogo Universiteta2076-24292223-38142015-03-0120151445010.15276/opu.1.45.2015.08Assessment of the motor vehicle reliability key indicatorsValery G. Maksimov0Alexander D. Nitsevich1Oleksiy А. Tkachev2Odessa National Polytechnic UniversityOdessa National Polytechnic UniversityOdessa National Polytechnic UniversityConsidered is a problem of longevity estimation and guaranteeing the preplanned lifespan of the automobile’s parts, assemblies and structural units. The main statistical indicators of machine parts durability include such parameters as their gamma-percentile life and the mean lifespan index. Estimated is the role of gamma-percentile life as the basis for the wares’ guaranteed MTBF selecting. Rapid-tests represent an effective direction in the estimation of the mean and gamma-percentile wares’ life. While various parts’ bench tests suggested is the use of “longevity factor” that characterizes the ratio of a piece’s gamma-percentile life to its median resource. Such assessment of the relationship between components’ and assemblies’ gamma-percentile life and their mean lifespan is shown on the example of trucks. The algorithm offered uses the rapid tests’ results for transition to the mean lifespan in practical exploitation. Main stages of the resource calculation methodology are described with examples of determining the mean lifespan for transmission parts.http://pratsi.opu.ua/articles/show/1139reliabilitygamma-percentile resourceproduct longevity
collection DOAJ
language English
format Article
sources DOAJ
author Valery G. Maksimov
Alexander D. Nitsevich
Oleksiy А. Tkachev
spellingShingle Valery G. Maksimov
Alexander D. Nitsevich
Oleksiy А. Tkachev
Assessment of the motor vehicle reliability key indicators
Trudy Odesskogo Politehničeskogo Universiteta
reliability
gamma-percentile resource
product longevity
author_facet Valery G. Maksimov
Alexander D. Nitsevich
Oleksiy А. Tkachev
author_sort Valery G. Maksimov
title Assessment of the motor vehicle reliability key indicators
title_short Assessment of the motor vehicle reliability key indicators
title_full Assessment of the motor vehicle reliability key indicators
title_fullStr Assessment of the motor vehicle reliability key indicators
title_full_unstemmed Assessment of the motor vehicle reliability key indicators
title_sort assessment of the motor vehicle reliability key indicators
publisher Odessa National Polytechnic University
series Trudy Odesskogo Politehničeskogo Universiteta
issn 2076-2429
2223-3814
publishDate 2015-03-01
description Considered is a problem of longevity estimation and guaranteeing the preplanned lifespan of the automobile’s parts, assemblies and structural units. The main statistical indicators of machine parts durability include such parameters as their gamma-percentile life and the mean lifespan index. Estimated is the role of gamma-percentile life as the basis for the wares’ guaranteed MTBF selecting. Rapid-tests represent an effective direction in the estimation of the mean and gamma-percentile wares’ life. While various parts’ bench tests suggested is the use of “longevity factor” that characterizes the ratio of a piece’s gamma-percentile life to its median resource. Such assessment of the relationship between components’ and assemblies’ gamma-percentile life and their mean lifespan is shown on the example of trucks. The algorithm offered uses the rapid tests’ results for transition to the mean lifespan in practical exploitation. Main stages of the resource calculation methodology are described with examples of determining the mean lifespan for transmission parts.
topic reliability
gamma-percentile resource
product longevity
url http://pratsi.opu.ua/articles/show/1139
work_keys_str_mv AT valerygmaksimov assessmentofthemotorvehiclereliabilitykeyindicators
AT alexanderdnitsevich assessmentofthemotorvehiclereliabilitykeyindicators
AT oleksiyatkachev assessmentofthemotorvehiclereliabilitykeyindicators
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