• DocumentCode
    189827
  • Title

    Vibration sensitivity reduction of photoacoustic gas analyzers

  • Author

    Maret, Yannick ; Angelosante, Daniele ; Steiger, Olivier ; Pape, Deltef ; Lenner, Miklos

  • Author_Institution
    Corp. Res., ABB Schweiz AG, Baden-Daettwil, Switzerland
  • fYear
    2014
  • fDate
    2-5 Nov. 2014
  • Firstpage
    1050
  • Lastpage
    1053
  • Abstract
    Optical gas analyzers are devices for measuring gas concentrations with high precision in industrial environments. Unfortunately mechanical shocks and vibrations can impact the measurement accuracy if the analyzer is installed in noisy environments, e.g. near rotating machines. In this paper, we propose two methods to remove the influence of vibrations by using an auxiliary signal measured via an accelerometer. In the first method, the mechanoelectrical transfer function between the vibration and its effects on the microphone is estimated before installation of the analyzer. In the second method, the mechanoelectrical transfer function is updated continuously under normal sensing operations. The two methods have been implemented within an ABB URAS gas analyzer and corrections are executed in real time. Tests on a vibrating table have confirmed the effectiveness of both methods: a reduction in vibration sensitivity up to a factor twenty is achieved.
  • Keywords
    accelerometers; chemical variables measurement; gas sensors; microphones; optical sensors; transfer functions; vibration measurement; ABB URAS gas analyzer; ABB URAS gas correction; accelerometer; auxiliary signal measurement; gas concentration measurement; industrial environment; mechanical shocks; mechanoelectrical transfer function; microphone effect; optical gas analyzer; photoacoustic gas analyzer; rotating machine; vibrating table testing; vibration sensitivity reduction; Acceleration; Detectors; Frequency modulation; Sensitivity; Transfer functions; Vibration measurement; Vibrations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SENSORS, 2014 IEEE
  • Conference_Location
    Valencia
  • Type

    conf

  • DOI
    10.1109/ICSENS.2014.6985184
  • Filename
    6985184