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Volume 30 Issue 2
Apr.  2001
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HAN Pu, WANG Dong-feng, ZHAI Yong-jie. SOFT-SENSING OF O2 CONTENT IN FLUE GAS OF POWER PLANT BASED ON NEURAL NETWORKS[J]. INFORMATION AND CONTROL, 2001, 30(2): 189-192.
Citation: HAN Pu, WANG Dong-feng, ZHAI Yong-jie. SOFT-SENSING OF O2 CONTENT IN FLUE GAS OF POWER PLANT BASED ON NEURAL NETWORKS[J]. INFORMATION AND CONTROL, 2001, 30(2): 189-192.
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SOFT-SENSING OF O2 CONTENT IN FLUE GAS OF POWER PLANT BASED ON NEURAL NETWORKS

  • Department of Power Engineering, North China Electric Power University, Baoding 071003

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  • Received Date: July 24, 2000
  • Published Date: April 19, 2001
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    • Abstract
  • This paper presents the soft-sensing technology and problems related with its application in industry. Soft sensor model based on feedforward neural network for O2 content in flue gas of power plant is put forward, a simulation of O2 content in flue gas of power plant is given. The results show that soft sensor technique is effective.
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    • References (5)
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