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Multiple Type Discriminating Mine Fire Sensors

Edwards, J. C. / Franks, R. A. / Friel, G. F. / Lazzara, C. P. / Opferman, J. J.

It was determined that a selection of different types of fire sensors could be used to discriminate mine fires from nuisance emissions produced by diesel equipment. A neural network (NN) was developed for application to coal, wood, and conveyor belt fires in the presence of diesel emissions and evaluated with the successful prediction of twenty-two out of twenty-three mine fires based upon a fire probability determination. The optimum sensor selection for the NN was comprised of a carbon monoxide (CO) sensor, two different types of metal oxide semiconductor (MOS) sensors, and an optical path smoke sensor.

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Multiple Type Discriminating Mine Fire Sensors

Edwards, J. C. / Franks, R. A. / Friel, G. F. / Lazzara, C. P. / Opferman, J. J.

It was determined that a selection of different types of fire sensors could be used to discriminate mine fires from nuisance emissions produced by diesel equipment. A neural network (NN) was developed for application to coal, wood, and conveyor belt fires in the presence of diesel emissions and evaluated with the successful prediction of twenty-two out of twenty-three mine fires based upon a fire probability determination. The optimum sensor selection for the NN was comprised of a carbon monoxide (CO) sensor, two different types of metal oxide semiconductor (MOS) sensors, and an optical path smoke sensor.

Multiple Type Discriminating Mine Fire Sensors

Edwards, J. C. / Franks, R. A. / Friel, G. F. / Lazzara, C. P. / Opferman, J. J.

It was determined that a selection of different types of fire sensors could be used to discriminate mine fires from nuisance emissions produced by diesel equipment. A neural network (NN) was developed for application to coal, wood, and conveyor belt fires in the presence of diesel emissions and evaluated with the successful prediction of twenty-two out of twenty-three mine fires based upon a fire probability determination. The optimum sensor selection for the NN was comprised of a carbon monoxide (CO) sensor, two different types of metal oxide semiconductor (MOS) sensors, and an optical path smoke sensor.

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Titel:

Multiple Type Discriminating Mine Fire Sensors

Beteiligte:

Edwards, J. C. / Franks, R. A. / Friel, G. F. / Lazzara, C. P. / Opferman, J. J.

Anmerkungen:

Trans Soc Min Metall Explor 2003 Dec; 314:166-171

Medientyp:

Sonstige

Format:

Elektronische Ressource

Sprache:

Englisch

Schlagwörter:

Klassifikation:

DDC: 620 / 624

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