B303 THE MONITORING MODEL AND ITS EXPERIMENTAL STUDY OF FAN PERFORMANCE BASED ON HYBRID NEURAL NETWORK

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概要

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• Aiming at the centrifugal fan which is widely used in power plants, in this paper using the strong nonlinear approaching capacity of RBFNN model and good generalizing ability of mathematic model, a monitoring model of fan performance based on hybrid NN is presented, which combines RBFNN model and partial least squares (PLS) model. The performance curves of 4-73No.8D are approached by experimental data and study results show that the model has higher precision than normal RBFNN model. In the last part of the paper, the application of the model under different conditions in studied.

• 社団法人日本機械学会の論文

著者

• Hu Hai

  Dept. Of Power Engineering North China Electric Power University

• AN Lian

  Dept. of Power Engineering, North China Electric Power University

• WANG Song

  Dept. of Power Engineering, North China Electric Power University

• HOU Jun

  Dept. of Power Engineering, North China Electric Power University

• YUAN Xiong

  Dept. of Power Engineering, North China Electric Power University

• Yuan Xiong

  Dept. Of Power Engineering North China Electric Power University

• Hou Jun

  Dept. Of Power Engineering North China Electric Power University

• An Lian

  Dept. Of Power Engineering North China Electric Power University

• Wang Song

  Dept. Of Power Engineering North China Electric Power University

関連論文

• B303 THE MONITORING MODEL AND ITS EXPERIMENTAL STUDY OF FAN PERFORMANCE BASED ON HYBRID NEURAL NETWORK
• B309 STUDY ON CONDENSER FAULT DIAGNOSIS VIAANN AND FUZZY MATH

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