Volume 27 Issue 1
Jan.  2012
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SHI Yong-sheng, PENG Peng, SONG Yun-xue. Multivariable chaotic arithmetic for aero-engine performance forecasting based on boundary values[J]. Journal of Aerospace Power, 2012, 27(1): 211-217.
Citation: SHI Yong-sheng, PENG Peng, SONG Yun-xue. Multivariable chaotic arithmetic for aero-engine performance forecasting based on boundary values[J]. Journal of Aerospace Power, 2012, 27(1): 211-217.

Multivariable chaotic arithmetic for aero-engine performance forecasting based on boundary values

  • Received Date: 2011-01-25
  • Rev Recd Date: 2011-06-29
  • Publish Date: 2012-01-28
  • Firstly,the boundary values of exhaust gas temperature(teg) was extracted from the original exhaust gas temperature data series.Further analysis on the boundary values data series indicated that there existed a chaos feature in it.Then,chaotic forecasting arithmetic based on multivariable phase space reconstruction was established to forecast the data series.Finally,by comparing the series with the red line,the condition of aero-engine was defined.The proposed arithmetic was verified through some type of aircraft aero-engine teg data series obtained from actual flight.The result shows that the proposed arithmetic can reduce the time complexity and has a better forecast accuracy in the prediction of outliers.It can be used as a supporting model in the decision making of this aero-engine fault forecast.

     

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