Model of Predictive Maintenance of Machines and Equipment
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F20%3A00555327" target="_blank" >RIV/60162694:G42__/20:00555327 - isvavai.cz</a>
Alternative codes found
RIV/60162694:G43__/20:00555327
Result on the web
<a href="https://www.mdpi.com/2076-3417/10/1/213" target="_blank" >https://www.mdpi.com/2076-3417/10/1/213</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/app10010213" target="_blank" >10.3390/app10010213</a>
Alternative languages
Result language
angličtina
Original language name
Model of Predictive Maintenance of Machines and Equipment
Original language description
The paper presents selected possibilities of mathematical models in predictive maintenance of equipment. This model includes automatic classification of machines by labour intensity, determination of labour intensity standards and drawing up monthly and yearly maintenance plans for manufacturing lines and technical equipment in an engineering company. The model reduces human error, clarifies accounting and operational records of machines, evaluates the actual maintenance labour intensity, eliminates routine administrative work, enables the use of cloud storages, and includes automatic reporting of problems in the case of on-board diagnostic systems. It is based on differentiated machine care and can be an effective tool for the overall optimization of maintenance processes and is a part of the digitization of these processes in engineering companies.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10300 - Physical sciences
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Applied Sciences
ISSN
2076-3417
e-ISSN
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Volume of the periodical
10
Issue of the periodical within the volume
1
Country of publishing house
CH - SWITZERLAND
Number of pages
16
Pages from-to
213
UT code for WoS article
000509398900213
EID of the result in the Scopus database
2-s2.0-85078897798