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Machine Learning for Cyber Physical Systems

Selected papers from the International Conference ML4CPS 2015

  • Oliver Niggemann
  • Jürgen Beyerer

Part of the Technologien für die intelligente Automation book series (TIA)

Table of contents

  1. Front Matter
    Pages I-VI
  2. Christoph Ide, Michael Nick, Dennis Kaulbars, Christian Wietfeld
    Pages 15-22
  3. Adrian Cubillo, Suresh Perinpanayagam, Marcos Rodriguez, Ignacio Collantes, Jeroen Vermeulen
    Pages 33-44
  4. S. Windmann, J. Eickmeyer, F. Jungbluth, J. Badinger, O. Niggemann
    Pages 45-50
  5. Yongheng Wang, Michael Weyrich
    Pages 51-57
  6. Kristijan Vukovic, Kristina Simonis, Helene Dörksen, Volker Lohweg
    Pages 59-66
  7. Alexander Diedrich, Andreas Bunte, Alexander Maier, Oliver Niggemann
    Pages 75-85
  8. André Mueß, Jens Weber, Raphael-Elias Reisch, Benjamin Jurke
    Pages 87-93
  9. Christian Walther, Frank Beneke, Luise Merbach, Hubertus Siebald, Oliver Hensel, Jochen Huster
    Pages 95-102
  10. Adrian Böckenkamp, Frank Weichert, Jonas Stenzel, Dennis Lünsch
    Pages 111-121

About these proceedings

Introduction

The work presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It  contains some selected papers from the international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Lemgo, October 1-2, 2015.

Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.

Keywords

Big Data Condition Monitoring Data Mining Image Processing and Diagnosis Machine Learning Predictive Maintenance

Editors and affiliations

  • Oliver Niggemann
    • 1
  • Jürgen Beyerer
    • 2
  1. 1.inITHochschule Ostwestfalen-LippeLemgoGermany
  2. 2.IOSBFraunhoferKarlsruheGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-48838-6
  • Copyright Information Springer-Verlag Berlin Heidelberg 2016
  • Publisher Name Springer Vieweg, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-662-48836-2
  • Online ISBN 978-3-662-48838-6
  • Buy this book on publisher's site
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