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Modular Platform of e-Maintenance with Intelligent Diagnosis: Application on Solar Platform

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Book cover Artificial Intelligence in Renewable Energetic Systems (ICAIRES 2017)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 35))

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Abstract

The “e-maintenance” is the modern definition of the maintenance, to face the in-creasing complexity of the industrial troubleshooting by adding a stronger dimension of cooperation at information’s level. Besides, it permits to remote control the maintenance tasks which will be a gain in time and costs. In this paper, we present “e-MIED for e-Maintenance Intelligent & Diagnostics” as an e-maintenance platform presenting a clear guideline for researcher in this field; we centered the conception of our platform on a completely modular framework in order to allow easily adjusting the global environment behavior in accordance with the requirements of client resources. Moreover, the software platform will be applied on a novel hardware photovoltaic solar platform made by the research team. Fault diagnosis module using Support Vector Machine is applied to distinguish the different health states of a machine or component and it’s considered as the main part of e-MIED platform.

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Author information

Authors and Affiliations

  1. LARESI Laboratory, Electronics Department, University of Sciences and Technologies Oran -MB, Oran, Algeria

    M. Chalouli & N. Berrached

  2. University of Hertfordshire, Hatfield, Hertfordshire, UK

    M. Denaï

Authors
  1. M. Chalouli
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  2. N. Berrached
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  3. M. Denaï
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Corresponding author

Correspondence to M. Chalouli .

Editor information

Editors and Affiliations

  1. EPST-CDER, UDES, Unité de Développement des Equipements Solaires, Bou Ismaïl, Algeria

    Mustapha Hatti

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Chalouli, M., Berrached, N., Denaï, M. (2018). Modular Platform of e-Maintenance with Intelligent Diagnosis: Application on Solar Platform. In: Hatti, M. (eds) Artificial Intelligence in Renewable Energetic Systems. ICAIRES 2017. Lecture Notes in Networks and Systems, vol 35. Springer, Cham. https://doi.org/10.1007/978-3-319-73192-6_27

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  • DOI: https://doi.org/10.1007/978-3-319-73192-6_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73191-9

  • Online ISBN: 978-3-319-73192-6

  • eBook Packages: EngineeringEngineering (R0)

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