New Fire Detection System Using FT-IR Spectroscopy and Artificial Neural Networks.
New Fire Detection System Using FT-IR Spectroscopy and
Artificial Neural Networks.
Chen, Y.; Sathyamoorthy, S.; Serio, M. A.
NISTIR 6242; October 1998.
National Institute of Standards and Technology. Annual
Conference on Fire Research: Book of Abstracts.
November 2-5, 1998, Gaithersburg, MD, Beall, K. A.,
Editor(s), 1-2 pp, 1998.
Sponsor:National Institute of Standards and Technology,
Available from: National Technical Information Service
Order number: PB99-102519
fire research; fire science; fire suppression; fire
detection systems; ft-ir; spectroscopy; signals; false
Future fire detection systems should have the ability of
discriminating signautres between fire and non-fire
sources as nuisance alarm problems have plagued existing
smoke detectors. In high value installations, such as
semiconductor clean rooms and telephone central offices,
it is obvious that reliable fire detection systems are
needed. In most cases, these detection systems are used
to activate fixed fire suppression systems, and false
discharges of the suppression agents are certainly
undersirable. False alarms can cause unnecessary down
time and undermine the operator's confidence in the