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A Cost-Efficient and Continuous Ethernet Cable Diagnosis Technique based on Undersampling

  • The monitoring of industrial environments ensures that highly automated processes run without interruption. However, even if the industrial machines themselves are monitored, the communication lines are currently not continuously monitored in todays installations. They are checked usually only during maintenance intervals or in case of error. In addition, the cables or connected machines usuallyThe monitoring of industrial environments ensures that highly automated processes run without interruption. However, even if the industrial machines themselves are monitored, the communication lines are currently not continuously monitored in todays installations. They are checked usually only during maintenance intervals or in case of error. In addition, the cables or connected machines usually have to be removed from the system for the duration of the test. To overcome these drawbacks, we have developed and implemented a cost-efficient and continuous signal monitoring of Ethernet-based industrial bus systems. Several methods have been developed to assess the quality of the cable. These methods can be classified to either passive or active. Active methods are not suitable if interruption of the communication is undesired. Passive methods, on the other hand, require oversampling, which calls for expensive hardware. In this paper, a novel passive method combined with undersampling targeting cost-efficient hardware is proposed.zeige mehrzeige weniger

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Metadaten
Dokumentart:Konferenzveröffentlichung
Art der Konferenzveröffentlichung:Konferenzartikel
Zitierlink: https://opus.hs-offenburg.de/3864
Bibliografische Angaben
Titel (Englisch):A Cost-Efficient and Continuous Ethernet Cable Diagnosis Technique based on Undersampling
Konferenzangaben:10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 18-21 Sept. 2019, Metz, France
Verfasserangaben:Ahmed Yahia Kallel, Sebastian Uziel, Manuel SchappacherStaff MemberORCiDGND, Axel SikoraStaff MemberORCiDGND, Thomas Keutel, Olfa Kanoun
Erscheinungsjahr:2019
Verlag:IEEE
Seitenanzahl:6
Erste Seite:695
Letzte Seite:700
Titel des übergeordneten Werkes (Englisch):Proceedings of the 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)
Jahrgang (Band):2
ISBN:978-1-7281-4069-8 (digital)
ISBN:978-1-7281-4068-1 (USB)
ISBN:978-1-7281-4070-4 (Print on Demand)
DOI:https://doi.org/10.1109/IDAACS.2019.8924458
Sprache:Englisch
Inhaltliche Informationen
Fakultäten / Einrichtungen:Fakultät Elektrotechnik, Medizintechnik und Informatik (EMI) (ab 04/2019)
Forschung:ivESK - Institut für verlässliche Embedded Systems und Kommunikationselektronik
Sammlungen der Hochschule Offenburg:Bibliografie
Formale Angaben
Open-Access-Status: Closed Access 
Lizenz (Deutsch):License LogoUrheberrechtlich geschützt