RESEARCH PAPER
Time-based machine failure prediction in multi-machine manufacturing systems
1
Department of Production Computerisation and Robotisation Faculty of Mechanical Engineering, Lublin University of Technology ul. Nadbystrzycka 36, 20-816 Lublin, Poland
Publication date: 2020-03-31
Eksploatacja i Niezawodność – Maintenance and Reliability 2020;22(1):52-62
KEYWORDS
ABSTRACT
The execution of production processes in real manufacturing systems is associated with the occurrence of numerous disruptions,
which predominantly revolve around technological machine failure. Therefore, various maintenance strategies are being developed, many of which tend to emphasise effective preventive measures, such as the Time-Based Maintenance (TBM) discussed
in this paper. Specifically, this publication presents the time-based machine failure prediction algorithm for the multi-machine
manufacturing environment. The Introduction section outlines the body of knowledge related to typical strategies applied in
maintenance. The next part describes an approach to failure prediction that treats processing times as makespan and is followed
by highlighting the key role of historical data in machine failure management, in the subsequent section. Finally, the proposed
time-based machine failure prediction algorithm is presented and tested by means of a two-step verification, which confirms its
effectiveness and further practical implementation
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| ISSN: | 1507-2711 |
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