- Tytuł:
- An analysis of the operating parameters of the vacuum furnace with regard to the requirementsof predictive maintenance
- Autorzy:
-
Kłos, Sławomir
Papacz, Władysław
Piechowicz, Łukasz - Powiązania:
- https://bibliotekanauki.pl/articles/407421.pdf
- Data publikacji:
- 2019
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
predictive maintenance
vacuum furnace
Industry 4.0
self-monitoring
thermo-visual investigation - Opis:
- The Industry 4.0 Concept assumes that the majority of industry’s resources will be able to self-diagnose; this will, therefore, enable predictive maintenance. Numerically controlled machines and devices involved in technological processes should, especially, have the facility to predict breakdown. In the paper, the concept of a predictive maintenance system for a vacuum furnace is presented. The predictive maintenance system is based on analysis of the operating parameters of the system and on the algorithms for identifying emergency states in the furnace. The algorithms will be implemented in the monitoring sub-system of the furnace. Analysis of the operating parameters of vacuum furnaces, recorded in the Cloud will lead to increased reliability and reduced service costs. In the paper, the research methodology for identification of the critical parameters of the predictive maintenance system is proposed. Illustrated examples of the thermographic investigation of a vacuum furnace are given.
- Źródło:
-
Management and Production Engineering Review; 2019, 10, 4; 48-54
2080-8208
2082-1344 - Pojawia się w:
- Management and Production Engineering Review
- Dostawca treści:
- Biblioteka Nauki
Artykuł