Model of Predictive Maintenance of Machines and Equipment

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/60162694:G43__/20:00555327

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Model of Predictive Maintenance of Machines and Equipment

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Model of Predictive Maintenance of Machines and Equipment

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10300 - Physical sciences

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Applied Sciences

ISSN

2076-3417

e-ISSN

—

Svazek periodika

10

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

16

Strana od-do

213

Kód UT WoS článku

000509398900213

EID výsledku v databázi Scopus

2-s2.0-85078897798