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Smart Devices in Production System Maintenance

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Predictive Maintenance in Dynamic Systems

Abstract

Smart devices depict a simple and economically efficient way to enhance existing, matured production systems towards a higher degree of digitalization and information exchange. Thus, current studies expect that the market for such devices will undergo a complete change: While today private users purchase most tablets and smartphones, approximately 75% of all mobile devices will be used in the area of industrial automation by 2025. In addition to ramp-up and planning, maintenance of production machines is one of the most promising application areas for smart devices: Lots of information need to be collected, aggregated, and communicated to enable better decisions and more efficient maintenance processes. As more and more sensors and control data become available in networks and clouds, these need to be processed and used. Together with a rising capacity in the area of data analytics, smart devices will thus be a powerful tool for smarter and more competitive maintenance. On the other hand, several obstacles, e.g., regarding system reliability, communication strategy, or ergonomics still have to be overcome to enable a wider application. This chapter therefore introduces the use of smart devices in the area of production systems maintenance.

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Author information

Authors and Affiliations

  1. Fraunhofer Institute for Production Technology IPT, Aachen, Germany

    Eike Permin, Florian Lindner, Kevin Kostyszyn, Dennis Grunert, Karl Lossie & Robert Schmitt

  2. Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University, Aachen, Germany

    Robert Schmitt

  3. oculavis GmbH, Aachen, Germany

    Martin Plutz

Authors
  1. Eike Permin
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  2. Florian Lindner
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  3. Kevin Kostyszyn
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  4. Dennis Grunert
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  5. Karl Lossie
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  6. Robert Schmitt
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  7. Martin Plutz
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Corresponding author

Correspondence to Dennis Grunert .

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Editors and Affiliations

  1. Fuzzy Logic Laboratorium Linz-Hagenberg, Department of Knowledge-Based Mathematical Systems, Johannes Kepler University Linz, Linz, Austria

    Edwin Lughofer

  2. Institute Mines-Telecom Lille Douai, Douai, France

    Moamar Sayed-Mouchaweh

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Permin, E. et al. (2019). Smart Devices in Production System Maintenance. In: Lughofer, E., Sayed-Mouchaweh, M. (eds) Predictive Maintenance in Dynamic Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-05645-2_2

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  • DOI: https://doi.org/10.1007/978-3-030-05645-2_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05644-5

  • Online ISBN: 978-3-030-05645-2

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