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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Research of Detecting Mixed Flammable Gases with a Single Catalytic Sensor Based on RBF Neural Network
verfasst von : Yu Zhang
Erschienen in: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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Utilizing the variation in the detection sensitivity of the catalytic sensor under different temperatures, a new method of analyzing inflammable gases with a single catalytic sensor based on thermostatic detection and RBF neural network theory is proposed. A mathematical model of analyzing different inflammable gases is constructed based on dynamic learning algorithm. Experiments were carried out with sample mixed gases of firedamp, carbon monoxide and hydrogen. The results show that the mixed inflammable gases can be effectively analyzed by the single catalytic sensor.