Wavelet Based Flickering Flame Detector Using Differential Pir Sensors
| dc.contributor.author | Toreyin, B. Ugur | |
| dc.contributor.author | Soyer, E. Birey | |
| dc.contributor.author | Inac, Ihsan | |
| dc.contributor.author | Gunay, Osman | |
| dc.contributor.author | Kose, Kivanc | |
| dc.contributor.author | Cetin, A. Enis | |
| dc.contributor.author | Erden, Fatih | |
| dc.date.accessioned | 2017-02-28T11:49:34Z | |
| dc.date.accessioned | 2025-09-18T16:07:21Z | |
| dc.date.available | 2017-02-28T11:49:34Z | |
| dc.date.available | 2025-09-18T16:07:21Z | |
| dc.date.issued | 2012 | |
| dc.description | Toreyin, Behcet Ugur/0000-0003-4406-2783; Erden, Fatih/0000-0002-1708-3063; Kose, Kivanc/0000-0003-3185-2639 | en_US |
| dc.description.abstract | A Pyro-electric Infrared (FIR) sensor based flame detection system is proposed using a Markovian decision algorithm. A differential PIR sensor is only sensitive to sudden temperature variations within its viewing range and it produces a time-varying signal. The wavelet transform of the FIR sensor signal is used for feature extraction from sensor signal and wavelet parameters are fed to a set of Markov models corresponding to the flame flicker process of an uncontrolled fire, ordinary activity of human beings and other objects. The final decision is reached based on the model yielding the highest probability among others. Comparative results show that the system can be used for fire detection in large rooms. (c) 2012 Elsevier Ltd. All rights reserved. | en_US |
| dc.description.sponsorship | Scientific and Technical Research Council of Turkey; European Community's Seventh Framework Programme [FP7-ENV-2009-1, FP7-ENV-244088] | en_US |
| dc.description.sponsorship | This work is supported in part by the Scientific and Technical Research Council of Turkey and the European Community's Seventh Framework Programme (FP7-ENV-2009-1) under grant agreement no FP7-ENV-244088 "FIRESENSE - Fire Detection and Management through a Multi-Sensor Network for the Protection of Cultural Heritage Areas from the Risk of Fire and Extreme Weather. | en_US |
| dc.identifier.citation | Erden, F...et al. (2012). Wavelet based flickering flame detector using differential PIR sensors. Fire Safety Journal, 53, 13-18. http://dx.doi.org/10.1016/j.firesaf.2012.06.006 | en_US |
| dc.identifier.doi | 10.1016/j.firesaf.2012.06.006 | |
| dc.identifier.issn | 0379-7112 | |
| dc.identifier.issn | 1873-7226 | |
| dc.identifier.scopus | 2-s2.0-84863449250 | |
| dc.identifier.uri | https://doi.org/10.1016/j.firesaf.2012.06.006 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12416/14745 | |
| dc.language.iso | en | en_US |
| dc.publisher | Elsevier Sci Ltd | en_US |
| dc.relation.ispartof | Fire Safety Journal | |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | Flame Detection | en_US |
| dc.subject | Pyro-Electric Infrared (Pir) Sensor | en_US |
| dc.subject | Wavelet Transform | en_US |
| dc.subject | Markov Models | en_US |
| dc.title | Wavelet Based Flickering Flame Detector Using Differential Pir Sensors | en_US |
| dc.title | Wavelet based flickering flame detector using differential PIR sensors | tr_TR |
| dc.type | Article | en_US |
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| gdc.author.id | Toreyin, Behcet Ugur/0000-0003-4406-2783 | |
| gdc.author.id | Erden, Fatih/0000-0002-1708-3063 | |
| gdc.author.id | Kose, Kivanc/0000-0003-3185-2639 | |
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| gdc.author.wosid | Kose, Kivanc/Aag-8130-2019 | |
| gdc.author.wosid | Toreyin, Behcet Ugur/A-6780-2012 | |
| gdc.author.wosid | Erden, Fatih/B-3968-2015 | |
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| gdc.description.department | Çankaya University | en_US |
| gdc.description.departmenttemp | [Erden, Fatih] Hacettepe Univ, Dept Elect & Elect Engn, Ankara, Turkey; [Toreyin, B. Ugur] Cankaya Univ, Dept Elect & Commun Engn, Ankara, Turkey; [Soyer, E. Birey; Gunay, Osman] ASELSAN Inc, Ankara, Turkey; [Inac, Ihsan; Kose, Kivanc; Cetin, A. Enis] Bilkent Univ, Dept Elect & Elect Engn, TR-06533 Ankara, Turkey | en_US |
| gdc.description.endpage | 18 | en_US |
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| gdc.description.startpage | 13 | en_US |
| gdc.description.volume | 53 | en_US |
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| gdc.oaire.keywords | Decision algorithms | |
| gdc.oaire.keywords | Markov Models | |
| gdc.oaire.keywords | Sensor signals | |
| gdc.oaire.keywords | Flame Detection | |
| gdc.oaire.keywords | Pyro-electric Infrared (pir) Sensor | |
| gdc.oaire.keywords | Fire detection | |
| gdc.oaire.keywords | Sensors | |
| gdc.oaire.keywords | Markov processes | |
| gdc.oaire.keywords | Markov models | |
| gdc.oaire.keywords | Human being | |
| gdc.oaire.keywords | Wavelet Transform | |
| gdc.oaire.keywords | Wavelet analysis | |
| gdc.oaire.keywords | Markov model | |
| gdc.oaire.keywords | Temperature variation | |
| gdc.oaire.keywords | Flame flicker | |
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| gdc.oaire.keywords | Flame detection | |
| gdc.oaire.keywords | Feature extraction | |
| gdc.oaire.keywords | Wavelet transform | |
| gdc.oaire.keywords | Wavelet parameters | |
| gdc.oaire.keywords | Flickering flames | |
| gdc.oaire.keywords | Final decision | |
| gdc.oaire.keywords | Pyro-electric Infrared (PIR) sensor | |
| gdc.oaire.keywords | Time varying signal | |
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| gdc.virtual.author | Töreyin, Behçet Uğur | |
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