loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

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

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)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.227.252.87

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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, SciTePress, 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
PB - SciTePress