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Virtual Sensor of Mass Flow for Diagnosis of HVAC Unit

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00230713" target="_blank" >RIV/68407700:21230/15:00230713 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Virtual Sensor of Mass Flow for Diagnosis of HVAC Unit

  • Original language description

    HVAC units are one of the most significant sources of energy consumption in buildings. The operation of the unit is often associated with various hidden faults that appear only as an increase in power consumption. Commonly available HVAC units are not sufficiently equipped with sensors, which leads to the problems with monitoring and fault detection. This problem could be solved by means of virtual sensors that are able to estimate a desired value based on information from other data sources. This workaddresses the possibility to employ virtual sensor of mass flow inside the airconditioning unit to monitor the status of the unit and fault detection. The paper describes the possibilities this type of sensor provides and situations in which it can be used with regard to its limitations. Both the sensor behavior under simulated conditions and its real usage as a source of information for fault detection is tested.

  • 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

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • 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 Twelfth International Conference on Condition Monitoring and Machinery Failure Prevention Technologies

  • ISBN

    978-1-5108-0712-9

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

  • Publisher name

    Coxmoor Publishing Co.

  • Place of publication

    Oxfordshire

  • Event location

    Oxford

  • Event date

    Jun 9, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article