VOC gas leak detection using pyro-electric infrared sensors
Date
2010Journal Title
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Print ISSN
15206149
Pages
1682 - 1685
Language
English
Type
Conference PaperItem Usage Stats
25
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Show full item recordAbstract
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 modelsPyro-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 (Please cite this version)
http://hdl.handle.net/11693/28532Published Version
http://dx.doi.org/10.1109/ICASSP.2010.5495500Collections
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