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论文类型：期刊论文

发表时间：2010-01-01

发表刊物：OZONE-SCIENCE & ENGINEERING

收录刊物：SCIE、EI、Scopus

卷号：32

期号：1

页面范围：56-60

ISSN号：0191-9512

关键字：Ozone; Ozone Concentration; Soft-Sensor Model; Radial Basis Function Neural Network; Gradient-Descent Algorithm

摘要：The soft-sensor of ozone concentration is introduced. Six secondary variables are chosen in the soft-sensor model. The model is built based on the radial basis function neural network and its parameters are confirmed by the Gradient-descent algorithm. The model is implemented on the basis of the monitoring system that is necessary for ozone generation; thus, it requires no additional hardware cost. The response time of the model is less than 0.6 seconds. The experimental results indicate that the relative errors of the soft-sensor are less than 5%.