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      VOC gas leak detection using pyro-electric infrared sensors

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      Author(s)
      Erden, Fatih
      Soyer, E. B.
      Toreyin, B. U.
      Çetin, A. Enis
      Date
      2010
      Source Title
      2010 IEEE International Conference on Acoustics, Speech and Signal Processing
      Print ISSN
      1520-6149
      Publisher
      IEEE
      Pages
      1682 - 1685
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
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      323
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      Abstract
      In this paper, we propose a novel method for detecting and monitoring Volatile Organic Compounds (VOC) gas leaks by using a Pyro-electric (or Passive) Infrared (PIR) sensor whose spectral range intersects with the absorption bands of VOC gases. A continuous time analog signal is obtained from the PIR sensor. This signal is discretized and analyzed in real time. Feature parameters are extracted in wavelet domain and classified using a Markov Model (MM) based classifier. Experimental results are presented. ©2010 IEEE.
      Keywords
      Markov models
      Pyro-electric infrared (PIR) sensor
      Voc gas leak detection
      Wavelet transform
      Absorption band
      Analog signals
      Continuous time
      Feature parameters
      Gas leak detection
      Gas leaks
      Infra-red sensor
      Markov model
      Novel methods
      Pyro-electric infrared (PIR) sensor
      Real time
      Spectral range
      Voc gas leak detection
      Wavelet domain
      Gas absorption
      Gases
      Leak detection
      Markov processes
      Signal detection
      Signal processing
      Volatile organic compounds
      Wavelet transforms
      Sensors
      Permalink
      http://hdl.handle.net/11693/28532
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/ICASSP.2010.5495500
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      • Department of Electrical and Electronics Engineering 3868
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