Title :
VOC gas leak detection using Pyro-electric Infrared sensors
Author :
Erden, Fatih ; Soyer, E. Birey ; Toreyin, B. Ugur ; Çetin, A. Enis
Author_Institution :
Dept. of Electr. & Electron. Eng., Bilkent Univ., Ankara, Turkey
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.
Keywords :
Markov processes; computerised instrumentation; feature extraction; gas sensors; infrared detectors; leak detection; organic compounds; photodetectors; physics computing; pyroelectric detectors; signal classification; signal processing; wavelet transforms; Markov Model based classifier; PIR sensor; VOC gas leak detection; continuous time analog signal; feature parameter extraction; passive sensor; pyroelectric infrared sensor; volatile organic compounds; wavelet domain; Electromagnetic wave absorption; Gas detectors; Gases; Infrared detectors; Infrared sensors; Infrared spectra; Infrared surveillance; Leak detection; Monitoring; Volatile organic compounds; Markov Models; VOC gas leak detection; pyro-electric infrared (PIR) sensor; wavelet transform;
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2010.5495500
