VOC gas leak detection using pyro-electric infrared sensors
Date
2010
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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.
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2010 IEEE International Conference on Acoustics, Speech and Signal Processing
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IEEE
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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
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Language
English