IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v100y2012icp258-266.html
   My bibliography  Save this article

The radiation factor computation of energy systems by means of vibration and noise measurements: The case study of a cogenerative internal combustion engine

Author

Listed:
  • Barelli, L.
  • Bidini, G.
  • Bonucci, F.
  • Moretti, E.

Abstract

The present work deals with the problem of monitoring and diagnosis, through non-intrusive methodologies, of stationary internal combustion engine, with particular attention to the cogenerative 1MW unit installed at the Engineering Faculty of the University of Perugia. Specifically, acoustic and vibrational measurements have been performed to correlate the engine functional status (and therefore the vibration of mechanical surfaces) with the acoustic emissions features through the characteristic radiation factor. The ISO/TS 7849 normative for the correlation of vibration and acoustic measurement has been employed.

Suggested Citation

  • Barelli, L. & Bidini, G. & Bonucci, F. & Moretti, E., 2012. "The radiation factor computation of energy systems by means of vibration and noise measurements: The case study of a cogenerative internal combustion engine," Applied Energy, Elsevier, vol. 100(C), pages 258-266.
    • Handle: RePEc:eee:appene:v:100:y:2012:i:c:p:258-266
    DOI: 10.1016/j.apenergy.2012.05.057
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261912004333
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2012.05.057?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. de Moura, Elineudo Pinho & de Abreu Melo Junior, Francisco Erivan & Rocha Damasceno, Filipe Francisco & Campos Figueiredo, Luis Câmara & de Andrade, Carla Freitas & de Almeida, Maurício Soares & Alexa, 2016. "Classification of imbalance levels in a scaled wind turbine through detrended fluctuation analysis of vibration signals," Renewable Energy, Elsevier, vol. 96(PA), pages 993-1002.
    2. Wang, Meng & Li, Haiwang & You, Ruquan & Kong, Weidi & Tao, Zhi, 2024. "Experimental research on high-temperature radiation characteristics of film-cooled plate of gas turbines," Energy, Elsevier, vol. 303(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:100:y:2012:i:c:p:258-266. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.