Volume 26 Issue 11
Nov.  2011
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QIU Xiao-jie, HUANG Jin-quan, LU Feng, LIU Nan. Fault diagnosis system design for the sensors and components of aircraft engine based on cloud relational analysis[J]. Journal of Aerospace Power, 2011, 26(11): 2584-2592.
Citation: QIU Xiao-jie, HUANG Jin-quan, LU Feng, LIU Nan. Fault diagnosis system design for the sensors and components of aircraft engine based on cloud relational analysis[J]. Journal of Aerospace Power, 2011, 26(11): 2584-2592.

Fault diagnosis system design for the sensors and components of aircraft engine based on cloud relational analysis

  • Received Date: 2010-12-01
  • Rev Recd Date: 2011-03-17
  • Publish Date: 2011-11-28
  • Considering low accuracy problem of fault diagnosis for aircraft engine by gray relational analysis,the method of cloud relational analysis was proposed by integrating the cloud theory and the relational analysis.The characteristics of “cloud droplets” reflect fuzziness and randomicity of the mapping,and solve the problem in data mining while representing the distribution change of the integral “shape”.The comprehensive subjection method could mine information fully,then the cloud relation can be calculated.In order to diagnose the single fault for the sensors and components of aircraft engine,a fault diagnosis system based on cloud relational analysis was designed based on analysis of the fault characteristics of the sensors and the components.The simulation results show that the proposed method can not only distinguish the faults of sensors and components,but also locate the fault position of the sensors or the components.The methods can effectively improve the fault diagnosis ability for aircraft engine.

     

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