Advanced fire detection algorithms using data from the home smoke detector project

Fire Safety Journal

Volumn 40, Issue 1, 2005, Pages 1-28

  Cestari, Luis A ^a   Worrell, Clarence ^a   Milke, James A ^a  

^a UNIVERSITY OF MARYLAND   (United States)

Author keywords

Fire detection; Multi sensor; Nuisance sources; PCA

Indexed keywords

ALGORITHMS; CARBON MONOXIDE; DUST; FIRE PROTECTION; FOURIER TRANSFORM INFRARED SPECTROSCOPY; IONIZATION; PHOTOELECTRIC DEVICES; PRINCIPAL COMPONENT ANALYSIS; SENSORS; SMOKE; THERMAL EFFECTS;

FIRE DETECTION; FIRE DETECTION ALGORITHMS; MULTI SENSORS; NUISANCE SOURCES;

SMOKE DETECTORS;

EID: 10444270842     PISSN: 03797112     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.firesaf.2004.07.004     Document Type: Article

References (12)

1. Hall JR. The latest statistics on US home smoke detectors. Fire J 1989;83(1):39-41.
2. Roby RJ, Gottuk DT, Beyler CL, Multi-signature Fire J US Patent Number 5,691,703, 1997.
3. Milke JA. Monitoring multiple aspects of fire signatures of discriminating fire detection. Fire Technol 1999;35:195-209.
4. Rose-Pehrsson SL, Hart SJ, Street TT, Tatem PA, Williams WW, Hammond MH, Gottuk DT, Wright MT, Wong JT, Real-time probabilistic neural network performance and optimization for fire detection and nuisance alarm rejection. Proceedings from the 12th international conference on automatic fire detection "AUBE '01", March 2001.
5. Gottuk DT, Peatross MJ, Roby RJ, Beyler CL. Advanced fire detection using multi-signature alarm algorithms. Fire Safety J 2002;37:381-94.
6. Bukowski RW, Peacock RD, Averill JD, Cleary TG, Bryner NP, Walton WD, Reneke PA, Kuligowski ED. Performance of home smoke alarms: analysis of the response of several available technologies in residential fire settings. Gaithersburg, MD: NIST; 2004.
7. Cestari LA, Assessments of multi-components fire detection algorithms derived from nuisance and real fire data. MS Thesis, Department of Fire Protection Engineering, University of Maryland, 2003.
8. Gottuk DT, Wright MT, Wong JT, Pham HV, Rose-Pehrson SL, Hart S, Hammond M, Williams FW, Tatem PA, Street TT, Prototype early warning fire detection system: test series 4 results. NRL/ MR/6180 - 02-8602, February, 2002.
9. Bukowski RW, Field investigation of residential smoke detectors. Fire J 1997; 18.
10. McAvoy TJ, Milke J, Kunt TA, using multivariate statistical methods to detect fires. Fire Technol. 1996; pp. 6-24.
11. Wise BM, Gallagher NB. PLS_Toolbox 2.0 for use with MATLAB. Manson, WA: Eigenvector Research, Inc.; 1998.
12. Milke JA, McAvoy TJ. Analysis of signature patterns for discriminating fire detection with multiple sensors. Fire Technol 1995;31(3):120-36.