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

fYear

2010

fDate

14-19 March 2010

Firstpage

1682

Lastpage

1685

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on

Conference_Location

Dallas, TX

ISSN

1520-6149

Print_ISBN

978-1-4244-4295-9

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2010.5495500

Filename

5495500