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Nature-Inspired Computing and Optimization pp 329–348Cite as

CBO-Based TDR Approach for Wiring Network Diagnosis

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Part of the book series: Modeling and Optimization in Science and Technologies ((MOST,volume 10))

Abstract

Wiring networks are vital connections in which power and signals can be transmitted. Defects in these networks can have dramatic consequences, and it is therefore of paramount importance to quickly detect and accurately locate and characterize defects in these networks. In one side, the time-domain reflectometry (TDR) is a measurement concept that exploits reflected waveforms in order to identify the characteristics of wiring networks. In the other side, the colliding bodies optimization (CBO) algorithm has proven to be efficient and robust for solving optimization problems. The aim of this chapter was to combine both TDR and CBO in one approach for the diagnosis of wiring networks (DWN). In this approach, the DWN is formulated as an optimization problem, where the aim was to minimize the difference between the measured TDR response (of the network under test) and a generated one in order to get information about the status of this network. The proposed approach is validated using six experiments with two different configurations of wiring networks. The results presented in this chapter show that the proposed approach can be used for a reliable DWN.

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Author information

Authors and Affiliations

  1. Constantine Electrical Engineering Laboratory, LEC, Department of Electrical Engineering, University of Constantine 1, 25000, Constantine, Algeria

    Hamza Boudjefdjouf & Houssem Bouchekara

  2. UAq EMC Laboratory, Department of Industrial and Information Engineering and Economics, University of L’Aquila, L’Aquila, Italy

    Francesco de Paulis & Antonio Orlandi

  3. Institut Polytechnique des Sciences Avancées (IPSA), 7-9 Rue Maurice Grandcoing, 94200, Ivry-sur-Seine, France

    Mostafa K. Smail

Authors
  1. Hamza Boudjefdjouf
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  2. Francesco de Paulis
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  3. Houssem Bouchekara
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  4. Antonio Orlandi
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  5. Mostafa K. Smail
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Corresponding author

Correspondence to Antonio Orlandi .

Editor information

Editors and Affiliations

  1. Dept of Computer Science and Engineering, SOA University Dept of Computer Science and Engineering, Bhubaneswar, Odisha, India

    Srikanta Patnaik

  2. School of Science and Technology, Middlesex University School of Science and Technology, London, United Kingdom

    Xin-She Yang

  3. School of H.S.E., University of Hyogo School of H.S.E., Himeji, Japan

    Kazumi Nakamatsu

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Boudjefdjouf, H., de Paulis, F., Bouchekara, H., Orlandi, A., Smail, M.K. (2017). CBO-Based TDR Approach for Wiring Network Diagnosis. In: Patnaik, S., Yang, XS., Nakamatsu, K. (eds) Nature-Inspired Computing and Optimization. Modeling and Optimization in Science and Technologies, vol 10. Springer, Cham. https://doi.org/10.1007/978-3-319-50920-4_13

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  • DOI: https://doi.org/10.1007/978-3-319-50920-4_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50919-8

  • Online ISBN: 978-3-319-50920-4

  • eBook Packages: EngineeringEngineering (R0)

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