Towards a Novel Maintenance Support System Based On mini-terms: Mini-term 4.0

  • Eduardo García
  • Nicolás MontesEmail author
  • Mónica Alacreu
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 613)


This paper presents how to design a novel Maintenance Support System (MSS) to prognostic breakdowns in production lines based on mini-terms, well known as a Mini-term 4.0. The system is based on the real time sub-cycle time (mini-term) monitorization and how the mini-term variability can be used as a fault detection indicator. Mini-terms and micro-terms were introduced in our previous work as a machine subdivision. A mini-term subdivision can be selected by the expert team for several reasons, the replacement of a machine part or simply to analyze the machine more adequately. (A micro-term is a component from a mini-term and it can be as small as the user wishes. Mini-terms are able to detect the same physical deterioration phenomenon than common sensor but with an important advantage, it is easy and cheap to install. It is cheap because do not require any additional hardware installation to measure the sub-cycle time, just use the PLC and sensors installed for the automated production process, and easy because only requires to code extra timers into the PLC. Mini-terms are nowadays implanted at Ford factories around the world where a learning process is established to enrich the knowledge of the system. The system detects change points and sends an e-mail to the maintenance workers. They repair the machine and report the pathology detected to the system. Real cases are shown at the end of the paper.


Knowledge-driven support system Maintenance prognosis mini-term Change point Mini-term 4.0 



The authors wish to thank Ford España S.L and in particular Almussafes Factory for the support in the present research.


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Eduardo García
    • 1
  • Nicolás Montes
    • 2
    Email author
  • Mónica Alacreu
    • 2
  1. 1.Ford SpainAlmussafesSpain
  2. 2.Department of Mathematics, Physics and Technological SciencesUniversity CEU Cardenal HerreraAlfara del PatriarcaSpain

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