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