VOC gas leak detection using Pyro-electric Infrared sensors

descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Other literature type 01 Mar 2010 Turkey Publisher:IEEEJournal:2010 IEEE International Conference on Acoustics, Speech and Signal ProcessingFunded by:EC | FIRESENSE

Authors: Fatih Erden; Emin Birey Soyer; B. Ugur Töreyin; A. Enis Çetin;

doi: 10.1109/icassp.2010.5495500

handle: 11693/28532

VOC gas leak detection using Pyro-electric Infrared sensors

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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.

Country

Turkey

Related Organizations

Aselsan (Turkey)
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University of Minnesota
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Bilkent University
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Keywords

Signal processing, Markov models, Novel methods, Gas leaks, Infra-red sensor, Wavelet transforms, Voc gas leak detection, Gas absorption, Gas leak detection, Volatile organic compounds, Absorption band, Sensors, Markov processes, Leak detection, Markov model, Real time, Continuous time, Feature parameters, Wavelet transform, Wavelet domain, Gases, Pyro-electric infrared (PIR) sensor, Analog signals, Spectral range, Signal detection

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