An analysis of the operating parameters of the vacuum furnace with regard to the requirements of predictive maintenance

2Citations
Citations of this article
26Readers
Mendeley users who have this article in their library.

Abstract

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.

Cite

CITATION STYLE

APA

Kłos, S., Papacz, W., & Piechowicz, Ł. (2019). An analysis of the operating parameters of the vacuum furnace with regard to the requirements of predictive maintenance. Management and Production Engineering Review, 10(4), 48–54. https://doi.org/10.24425/mper.2019.131444

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free