Volume 23 Issue 6
Jun.  2008
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YAO Hua, SHAN Gui-ping, SUN Jian-guo. Fault diagnosis for gas turbine engines based on Kalman filter and neural networks[J]. Journal of Aerospace Power, 2008, 23(6): 1111-1117.
Citation: YAO Hua, SHAN Gui-ping, SUN Jian-guo. Fault diagnosis for gas turbine engines based on Kalman filter and neural networks[J]. Journal of Aerospace Power, 2008, 23(6): 1111-1117.

Fault diagnosis for gas turbine engines based on Kalman filter and neural networks

  • Received Date: 2007-05-30
  • Rev Recd Date: 2007-08-20
  • Publish Date: 2008-06-28
  • A method for gas path fault diagnosis of gas turbine engines based on Kalman filter and neural networks was proposed.For the fault diagnosis,the Kalman filter was used to estimate the variations of measurable parameters,while neural network was applied for mapping the variations of performance parameters of gas turbine engines.Digital simulations show that the proposed method is feasible and effective.

     

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