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Intelligent Sensing Systems – Status of Research at KaProm

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Proceedings of 3rd International Conference on the Industry 4.0 Model for Advanced Manufacturing (AMP 2018)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

Within Industrie 4.0 intelligent sensing systems represent an indispensable asset with significant role in enabling shifting from automated to intelligent manufacturing. Instead of being simple transducers, intelligent sensors are able to retrieve useful information from raw signal. They represent systems with integrated computation and communication capabilities, that run sophisticated and real time applicable algorithms and communicate the necessary information to the other elements of the manufacturing facility.

In this paper we present the recent research results in the field of intelligent sensing systems that were accomplished at Laboratory for Manufacturing Automation and Laboratory for Robotics and Artificial Intelligence at Department for Production Engineering (KaProm) at Faculty of Mechanical Engineering in Belgrade. Presented systems are intended for application in various manufacturing processes, such as machining, assembly, manipulation, material transport, rubber processing lines. They are based on application of different non-stationary signal processing (Discrete Wavelet Transform, Huang-Hilbert transform) and machine learning and artificial intelligence techniques (Support Vector Machines, Artificial Neural Networks, bio-inspired algorithms, clustering methods, fuzzy inference mechanisms). The most of developed systems are implemented in embedded devices and their real-world applicability is demonstrated.

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Notes

  1. 1.

    The partnership for robotics in Europe.

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Acknowledgments

We wish to express our gratitude to the Ministry of Education and Science of Serbia for providing financial support under grants TR35004, TR35020 and TR35023.

Author information

Authors and Affiliations

  1. Faculty of Mechanical Engineering, University of Belgrade, KraljiceMarije 16, 11000, Belgrade, Serbia

    Zivana Jakovljevic, Milica Petrovic & Zoran Miljkovic

  2. Lola Institute, KnezaViseslava 70a, 11000, Belgrade, Serbia

    Stefan Mitrovic

Authors
  1. Zivana Jakovljevic
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  2. Milica Petrovic
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  3. Stefan Mitrovic
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  4. Zoran Miljkovic
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Corresponding author

Correspondence to Zivana Jakovljevic .

Editor information

Editors and Affiliations

  1. Department of Mechanical Engineering, University of Michigan, Ann Arbor, Michigan, USA

    Jun Ni

  2. University of Belgrade, Faculty of Mechanical Engineering, Laboratory for Production Metrology and TQM, Belgrade, Serbia

    Vidosav D. Majstorovic

  3. Department of Mechanical Engineering, University of Texas, Austin, Texas, USA

    Dragan Djurdjanovic

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Jakovljevic, Z., Petrovic, M., Mitrovic, S., Miljkovic, Z. (2018). Intelligent Sensing Systems – Status of Research at KaProm. In: Ni, J., Majstorovic, V., Djurdjanovic, D. (eds) Proceedings of 3rd International Conference on the Industry 4.0 Model for Advanced Manufacturing. AMP 2018. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-89563-5_2

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  • DOI: https://doi.org/10.1007/978-3-319-89563-5_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-89562-8

  • Online ISBN: 978-3-319-89563-5

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