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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Fire Technologyarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Fire Technology
Article . 2003 . Peer-reviewed
License: Springer Nature TDM
Data sources: Crossref
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Investigation of Multi-Sensor Algorithms for Fire Detection

Authors: James A. Milke; Matthew E. Hulcher; Clarence L. Worrell; Daniel T. Gottuk; Frederick W. Williams;

Investigation of Multi-Sensor Algorithms for Fire Detection

Abstract

There is widespread interest in the development of advanced fire detectors. A primary objective of fire detection is to provide prompt indication of the presence of a fire, without responding to deceptive signatures from nuisance sources. The principal purpose of this project is to identify the characteristics of a discriminating fire detector for Naval shipboard applications incorporating ionization, photoelectric, carbon dioxide and carbon monoxide sensors. Test data from previously conducted full-scale tests involving fire and nuisance sources are being analyzed to develop an algorithm involving combinations of the magnitude or slope of the response signal from each sensor. Acceptability of a particular algorithm is judged based on the number of correct classifications (fire vs. nuisance) and response time to fire sources.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
32
Top 10%
Top 10%
Average
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