Publication: Dynamic management of periodicity between measurements in predictive maintenance
Loading...
Date
2023
Authors
F.C. Gómez de León Hijes ; J. Sánchez Robles ; F.M. Martínez García ; M. Alarcón García
item.page.secondaryauthor
item.page.director
Publisher
Elsevier
publication.page.editor
publication.page.department
DOI
10.1016/j.measurement.2023.112721
item.page.type
info:eu-repo/semantics/article
Description
Abstract
In practice, on a large number of machines in industrial plants, predictive maintenance relies on periodic measurements to diagnose the condition of the equipment, rather than continuous monitoring of vibrations. In those cases, choosing an appropriate period between measurements is the key to success. Setting a long period implies taking a serious risk of breakdown, while a very short time interval between measurements can unnecessarily increase the costs of the maintenance plan.
This work shows a methodology to determine and manage this Time Interval Between Measurements (TIBeM) dynamically adapted to each machine and situation. Depending on the criticality of each machine and its reliability, more specifically, its present diagnosed functional condition and the history of failures and measurements, the most appropriate TIBeM is recalculated each time a new measurement and diagnostic is performed.
The described method has been implemented and validated in a large process plant and has led to a considerable improvement in costs and the management of its predictive maintenance plan.
publication.page.subject
Citation
item.page.embargo
Collections
Ir a Estadísticas
Este ítem está sujeto a una licencia Creative Commons. http://creativecommons.org/licenses/by-nc-nd/4.0/