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Authors: E. Garcia 1 and N. Montes 2

Affiliations: 1 Ford Spain, Poligono Industrial Ford S/N, CP 46440, Almussafes, Valencia and Spain ; 2 Department of Mathematics, Physics and Technological Sciences, University CEU Cardenal Herrera, C/ San Bartolome 55, Alfara del Patriarca, Valencia and Spain

ISBN: 978-989-758-380-3

ISSN: 2184-2809

Keyword(s): Mini-term, Breakdown, Mini-term 4.0, Prognosis, Maintenance Support Systems (MSS).

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. (More)

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Paper citation in several formats:
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; ISSN 2184-2809, pages 180-187. DOI: 10.5220/0007808801800187

@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},
issn={2184-2809},
}

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
IS - 2184-2809
AU - Garcia, E.
AU - Montes, N.
PY - 2019
SP - 180
EP - 187
DO - 10.5220/0007808801800187

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