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New Fire Detection System Using FT-IR Spectroscopy and Artificial Neural Networks.


pdf icon New Fire Detection System Using FT-IR Spectroscopy and Artificial Neural Networks. (242 K)
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, Gaithersburg, MD

Available from:

National Technical Information Service
Order number: PB99-102519

Keywords:

fire research; fire science; fire suppression; fire detection systems; ft-ir; spectroscopy; signals; false alarms

Abstract:

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 detection system.