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http://dx.doi.org/10.7731/KIFSE.2014.28.5.064

A Study on the Fire Sources Analysis Using the Optical Characteristics of Smoke Particles and Neural Networks  

Jee, Seung-Wook (Graduate School, Yeungnam University)
Publication Information
Fire Science and Engineering / v.28, no.5, 2014 , pp. 64-70 More about this Journal
Abstract
The neural networks were able to be used by analyze fire source with the optical characteristics of smoke particles. The neural networks were learned the optical characteristics for three types test fire (paper, wood, flammable liquid). These test fires which were adopted in this study were also used to performance test of smoke detector according to UL268. A smoke chamber which was able to detect light extinction and scattering simultaneously was created. The optical characteristics of smoke particles were measured by the smoke chamber. And the results were used to input data for the neural networks. The neural networks distinguished the fire source accurately for paper fire, wood fire or flammable liquid fire. The neural networks distinguished accurately the combined fire source such as paper-wood fire, paper-flammable liquid fire or wood-flammable liquid fire.
Keywords
Smoke particles; Extinction; Scattering; Optical properties; Neural networks;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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