Release Time:2019-03-09  Hits:

Indexed by: Journal Article

Date of Publication: 2010-01-01

Journal: OZONE-SCIENCE & ENGINEERING

Included Journals: Scopus、EI、SCIE

Volume: 32

Issue: 1

Page Number: 56-60

ISSN: 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%.