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An Immune Neural Network Model for Aeroengine Performance Monitoring

  • Wei WangEmail author
  • Shengli Hou
  • Jing Guo
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 849)

Abstract

In this paper, an aeroengine performance monitoring and fault detection model, based on immune neural network, is put forward. By combining artificial immune system recognition mechanism with artificial neural network, the deviation degree of aeroengine performance (abnormal degree) can be determined, and the monitoring of performance trend can be achieved. With this method, the overall performance change of aeroengine can be reflected sensitively and accurately, the abnormity recognition rate of aeroengine performance can be enhanced, and potential early engine fault can be detected to prevent further development. This method is proved effective through the monitoring of a certain type of turbofan aeroengine.

Keywords

Aerospace propulsion system Aeroengine Performance monitoring Artificial immune system Immune neural network 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of Aviation Material ManagementAir Force Logistics CollegeXuzhouChina

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