Mini-term 4.0. A Real-time Maintenance Support System to Prognosticate Breakdowns in Production Lines

E. Garcia, N. Montes

2019

Abstract

This paper presents a Real-time Maintenance Support System (MSS) to prognosticate breakdowns in production lines. The system is based on the sub-cycle time monitoring, mini-terms, and how the sub-cycle time variability can be used as a deterioration indicator that could describe the dynamic of the failure for the machine parts. A Real-time MSS has been installed at Ford factory located in Almussafes (Valencia), the so-called Mini-term 4.0. At present, three plants, Body 1,2 and 3 have hundreds of mini-terms sensed by the system. The connected production line elements are the welding guns, elevators, screwdriver and scissor tables. Mini-term 4.0 uses the well-known k-means algorithm to detect change points. The K-means constructs two groups and, when centroid values differ more than 7 % (orange alert), or 18 % (red alert), an e-mail is sent to maintenance team to schedule the maintenance task. Some examples of the different change point topologies detected are shown at the end of the paper.

Paper Citation

in Harvard Style

Garcia E. and Montes N. (2019). Mini-term 4.0. A Real-time Maintenance Support System to Prognosticate Breakdowns in Production Lines.In Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-380-3, pages 180-187. DOI: 10.5220/0007808801800187

in Bibtex Style

@conference{icinco19,
author={E. Garcia and N. Montes},
title={Mini-term 4.0. A Real-time Maintenance Support System to Prognosticate Breakdowns in Production Lines},
booktitle={Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2019},
pages={180-187},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007808801800187},
isbn={978-989-758-380-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Mini-term 4.0. A Real-time Maintenance Support System to Prognosticate Breakdowns in Production Lines
SN - 978-989-758-380-3
AU - Garcia E.
AU - Montes N.
PY - 2019
SP - 180
EP - 187
DO - 10.5220/0007808801800187