RELIABILITY CHARACTERISTICS OF MECHANICAL OBJECTS OF AGRICULTURAL MACHINES
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41310%2F19%3A82377" target="_blank" >RIV/60460709:41310/19:82377 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
RELIABILITY CHARACTERISTICS OF MECHANICAL OBJECTS OF AGRICULTURAL MACHINES
Original language description
Weibull distribution is commonly used as theoretical distribution of probability in the field of mechanical parts reliability. One of the advantages of using Weibull distribution is that the failure rate can have a rising, falling or constant trend. Weibull distribution is flexible and adaptable for data of all over a wide range. When processing data for all objects, it is necessary to keep track of the operation time to failure, cycles to failure, transport distance, mechanical stress or similar continuous or discrete parameters. It is not always possible to process with a complete data set. The purpose of the paper is to acquaint the readers with the method of processing data of reliability of mechanical parts of agricultural machines based on Weibull analysis of incomplete data of time to failure.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
21100 - Other engineering and technologies
Result continuities
Project
<a href="/en/project/FV20286" target="_blank" >FV20286: Maintenance management information system with benchmarking module respecting Industry 4.0</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
PROCEEDING OF 7TH INTERNATIONAL CONFERENCE ON TRENDS IN AGRICULTURAL ENGINEERING 2019
ISBN
978-80-213-2953-9
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
26-31
Publisher name
CZECH UNIVERSITY LIFE SCIENCES PRAGUE, DEPT SYSTEMS ENG, KAMYCKA 129, PRAGUE 6 165 21, CZECH REPUBLIC
Place of publication
Praque
Event location
Prague
Event date
Sep 17, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000521578500005