DocumentCode :
341248
Title :
System identification techniques for simulating fire detector signals
Author :
Derbel, Faouzi ; Horn, Michael ; Tränkler, Hans-Rolf
Author_Institution :
Inst. fur Mess- und Automatisierungstech., Univ. der Bundeswehr Munchen, Germany
Volume :
2
fYear :
1999
fDate :
1999
Firstpage :
898
Abstract :
This paper describes possibilities of modeling fire detector signals for the design of fire recognition algorithms. For this purpose, test experiments including test fires fulfilling EN54 Standards and disturbing events have been carried out. Relative mass loss of fire fuels and sensor responses have been introduced as input-outputs of the process that is modeled. In a second step, the ability to identify executed tests has been investigated using a guessed weighting function and ARX-modeling techniques. The evaluation of these techniques is based on the capability to reproduce measured data. According to the practice, sensor responses are different even by the same test fires, therefore, the complexity to generate different signals from identified responses has been additionally taken into account in the evaluation procedure
Keywords :
alarm systems; array signal processing; autoregressive processes; digital simulation; fires; identification; modelling; safety systems; sensor fusion; AR technique; ARX modeling techniques; BrandLab tool; EN54 Standard; evaluation procedure; fire detector signals simulation; fire fuels; fire recognition algorithms; guessed weighting function; relative mass loss; sensor responses; system identification techniques; test signals generation; Algorithm design and analysis; Detectors; Fires; Fuels; Signal design; Signal detection; Signal generators; Signal processing; System identification; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1999. IMTC/99. Proceedings of the 16th IEEE
Conference_Location :
Venice
ISSN :
1091-5281
Print_ISBN :
0-7803-5276-9
Type :
conf
DOI :
10.1109/IMTC.1999.776994
Filename :
776994
Link To Document :
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