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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Odessa National Polytechnic University
2015-03-01
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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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