An Analysis of the Operating Parameters of the Vacuum Furnace with Regard to the Requirementsof Predictive Maintenance

• Autorzy: Sławomir Kłos , Władysław Papacz , Łukasz Piechowicz
• Języki publikacji: EN

Abstrakty

EN

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. (original abstract)

Słowa kluczowe

EN

Industry 4.0; Production control; Algorithms; Process monitoring

PL

Przemysł 4.0; Kontrola produkcji; Algorytmy; Monitorowanie procesów

• Czasopismo: Management and Production Engineering Review
• Rocznik: 2019
• Tom: 10
• Numer: nr 4
• Strony: 48--54

Twórcy

autor

Sławomir Kłos

• University of Zielona Gora, Poland

autor

Władysław Papacz

• University of Zielona Gora, Poland

autor

Łukasz Piechowicz

• Seco/Warwick S.A., Poland

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Identyfikatory

DOI

10.24425/mper.2019.131444