VOC gas leak detection using pyro-electric infrared sensors
buir.contributor.author | Çetin, A. Enis | |
buir.contributor.orcid | Çetin, A. Enis|0000-0002-3449-1958 | |
dc.citation.epage | 1685 | en_US |
dc.citation.spage | 1682 | en_US |
dc.contributor.author | Erden, Fatih | en_US |
dc.contributor.author | Soyer, E. B. | en_US |
dc.contributor.author | Toreyin, B. U. | en_US |
dc.contributor.author | Çetin, A. Enis | en_US |
dc.coverage.spatial | Dallas, TX, USA | en_US |
dc.date.accessioned | 2016-02-08T12:23:06Z | |
dc.date.available | 2016-02-08T12:23:06Z | |
dc.date.issued | 2010 | en_US |
dc.department | Department of Electrical and Electronics Engineering | en_US |
dc.description | Date of Conference: 14-19 March 2010 | en_US |
dc.description.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. | en_US |
dc.description.provenance | Made available in DSpace on 2016-02-08T12:23:06Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2010 | en |
dc.identifier.doi | 10.1109/ICASSP.2010.5495500 | en_US |
dc.identifier.issn | 1520-6149 | |
dc.identifier.uri | http://hdl.handle.net/11693/28532 | |
dc.language.iso | English | en_US |
dc.publisher | IEEE | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1109/ICASSP.2010.5495500 | en_US |
dc.source.title | 2010 IEEE International Conference on Acoustics, Speech and Signal Processing | en_US |
dc.subject | Markov models | en_US |
dc.subject | Pyro-electric infrared (PIR) sensor | en_US |
dc.subject | Voc gas leak detection | en_US |
dc.subject | Wavelet transform | en_US |
dc.subject | Absorption band | en_US |
dc.subject | Analog signals | en_US |
dc.subject | Continuous time | en_US |
dc.subject | Feature parameters | en_US |
dc.subject | Gas leak detection | en_US |
dc.subject | Gas leaks | en_US |
dc.subject | Infra-red sensor | en_US |
dc.subject | Markov model | en_US |
dc.subject | Novel methods | en_US |
dc.subject | Pyro-electric infrared (PIR) sensor | en_US |
dc.subject | Real time | en_US |
dc.subject | Spectral range | en_US |
dc.subject | Voc gas leak detection | en_US |
dc.subject | Wavelet domain | en_US |
dc.subject | Gas absorption | en_US |
dc.subject | Gases | en_US |
dc.subject | Leak detection | en_US |
dc.subject | Markov processes | en_US |
dc.subject | Signal detection | en_US |
dc.subject | Signal processing | en_US |
dc.subject | Volatile organic compounds | en_US |
dc.subject | Wavelet transforms | en_US |
dc.subject | Sensors | en_US |
dc.title | VOC gas leak detection using pyro-electric infrared sensors | en_US |
dc.type | Conference Paper | en_US |
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