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Rotary Machine Condition Monitoring Using One-Class Classification in Wireless Sensor Networks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00181687" target="_blank" >RIV/68407700:21230/11:00181687 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Rotary Machine Condition Monitoring Using One-Class Classification in Wireless Sensor Networks

  • Original language description

    In this paper we introduce the system for machine condition monitoring (MCM) based on the Wireless Sensors Network (WSN). In the proposed system the vibrational behaviour of a rotary machine is sensed by the nodes of the network. In the each node samplesare pre-processed and suitable features describing the faulty behaviour of a machine are extracted, then the features input to the classifier. An one-class classifier implemented in the each node creates an intermediate classification result. From theseresults is in the network created by voting and combining procedures the final decision about a machine condition. This approach may bring many benefits compared to classical wired centralized systems, i.e. easier deployment, robustness and gives a goodoverall view of a machine condition.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JB - Sensors, detecting elements, measurement and regulation

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GD102%2F09%2FH081" target="_blank" >GD102/09/H081: SYNERGY - Mobile Sensoric Systems and Networks</a><br>

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2011

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    THE 8TH INTERNATIONAL CONFERENCE ON CONDITION MONITORING AND

  • ISBN

    978-1-61839-014-1

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    702-710

  • Publisher name

    BINDT, US Society for Machinery Failure Prevention Technology

  • Place of publication

    Dublin

  • Event location

    Cardiff

  • Event date

    Jun 20, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article