SOFT-SENSING OF O_2 CONTENT IN FLUE GAS OF POWER PLANT BASED ON NEURAL NETWORKS

This paper presents the soft-sensing technology and problems related with its application in industry. Soft sensor model based on feedforward neural network for O_2 content in flue gas of power plant is put forward, a simulation of O_2 content in flue gas of power plant is given. The results show that soft sensor technique is effective.