Volume 26 Issue 5
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Article Navigation >  Journal of Aerospace Power  > 2011  >  26(5): 1178-1184
SHE Yun-feng, HUANG Jin-quan, LU Feng. Gaussian weighted sum clustering method of adaptive hybrid diagnostic model for turbo-shaft engine[J]. Journal of Aerospace Power, 2011, 26(5): 1178-1184.
Citation: SHE Yun-feng, HUANG Jin-quan, LU Feng. Gaussian weighted sum clustering method of adaptive hybrid diagnostic model for turbo-shaft engine[J]. Journal of Aerospace Power, 2011, 26(5): 1178-1184.
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Gaussian weighted sum clustering method of adaptive hybrid diagnostic model for turbo-shaft engine

  • College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

  • Received Date: 2010-04-26
  • Rev Recd Date: 2010-07-04
  • Publish Date: 2011-05-28
    Abstract
  • A Gaussian weighted sum clustering method of on-board adaptive hybrid model was proposed for health parameter estimation of turbo-shaft engine in the full flight envelope.The on-board adaptive hybrid model was composed of Kalman filter and neural network.Gaussian weighted sum model was used to cluster a huge amount of flight data in real-time and update the neural network weighting.The working range of adaptive hybrid model was increased automatically with this method.The simulation results show the validity of the proposed method.Adaptive hybrid model based on Gaussian weighted sum clustering increases the accuracy for turbo-shaft engine performance tracking in the full flight envelope.

     

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