• DocumentCode
    2911913
  • Title

    Smart phone machinery vibration measurement

  • Author

    Ginart, Antonio ; Ali, Irfan N. ; Barlas, Irtaza ; Ginart, Antonio A. ; Sheldon, Jeremy S. ; Kalgren, Patrick W. ; Roemer, Michael J.

  • Author_Institution
    Impact Technol., Rochester, NY, USA
  • fYear
    2011
  • fDate
    5-12 March 2011
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper presents a computationally economical algorithm that provides RMS value of vibration velocity calculated using the accelerometer measurements embedded in modern smartphones. This measurement extends the use of smartphones to quickly diagnose the health status of machinery.
  • Keywords
    accelerometers; condition monitoring; mobile handsets; vibration measurement; RMS value; accelerometer measurement; computationally economical algorithm; machinery health status diagnosis; smart phone machinery vibration measurement; vibration velocity; Acceleration; Accelerometers; ISO standards; Machinery; Smart phones; Vibration measurement; Vibrations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace Conference, 2011 IEEE
  • Conference_Location
    Big Sky, MT
  • ISSN
    1095-323X
  • Print_ISBN
    978-1-4244-7350-2
  • Type

    conf

  • DOI
    10.1109/AERO.2011.5747577
  • Filename
    5747577
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2911913