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Indexed by:期刊论文

Date of Publication:2010-01-01

Journal:OZONE-SCIENCE & ENGINEERING

Included Journals:SCIE、EI、Scopus

Volume:32

Issue:1

Page Number:56-60

ISSN No.:0191-9512

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

Abstract: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%.