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    Neural Networks and Advanced Algorithms for Intelligent Monitoring in Industry

    Neural Networks and Advanced Algorithms for Intelligent Monitoring in Industry


    Abstract How will machines and plants be maintained in the future? Opinions differ widely. Some are propagating industry 4.0 as a key technology, others are very skeptical about the huge data collection needed for this approach. However, a lot of machine data is already available today—it only needs to be used intelligently. Thanks to the latest boost in the field of neural networks empowered by the availability of computing power at low cost, there are great opportunities for condition monitoring and predictive maintenance.

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    Titel :

    Neural Networks and Advanced Algorithms for Intelligent Monitoring in Industry

    Beteiligte:
    Schmid, Philipp A. E. (Autor:in) / Steinecker, Alexander (Autor:in) / Sun, Jianwen (Autor:in) / Knapp, Helmut F. (Autor:in)
    Erschienen in:

    Electronic Components and Systems for Automotive Applications ; 173-183

    Lecture Notes in Mobility

    Erscheinungsdatum :

    2019-01-01

    Format / Umfang :

    11 pages

    ISBN :

    978-3-030-14155-4 , 978-3-030-14156-1

    ISSN :

    2196-5552 , 2196-5544

    DOI :

    https://doi.org/10.1007/978-3-030-14156-1_14

    Medientyp :

    Aufsatz/Kapitel (Buch)

    Format :

    Elektronische Ressource

    Sprache :

    Englisch

    Schlagwörter :

    Deep learning , Predictive maintenance , Machine learning , System monitoring , Industrial processes Energy , Transportation , Automotive Engineering , Sustainable Development , Innovation/Technology Management , Renewable and Green Energy

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