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Data Mining of Vehicle Control Units

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F16%3A43910227" target="_blank" >RIV/62156489:43210/16:43910227 - isvavai.cz</a>

  • Result on the web

    <a href="https://mnet.mendelu.cz/mendelnet2016/mnet_2016_full.pdf" target="_blank" >https://mnet.mendelu.cz/mendelnet2016/mnet_2016_full.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Data Mining of Vehicle Control Units

  • Original language description

    On this article is described the method of automobile control unit data mining. The article is divided into several categories. One part contains the theory of data mining, describing the history of its origin of the method and its division. The main focus is on the communication of control units and diagnostic testers in CAN bus vehicle buses. The data mining method focuses on specific objectives in this article. The objectives are described in the practical part of this article. On the practical part is described the connection of diagnostic hardware to the control unit of the BOSCH engine marked EDC17CP20. The communication sample is subtracted from the CAN bus with hardware. The sample is then analyzed and interpreted. For example, it displays the VIN (Vehicle identification number) from the engine control unit, CAN bus filters and other parameters. The results are then reviewed in the original diagnostic tool SuperVAG.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JT - Propulsion, engines and fuels

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    MendelNet 2016: Proceedings of International PhD Students Conference

  • ISBN

    978-80-7509-443-8

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    944-948

  • Publisher name

    Mendelova univerzita v Brně

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Nov 9, 2016

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    000392968500169