AN ARTIFICIAL NEURAL NETWORK APPLIED TO AIRCRAFT GAS TURBINE DIAGNOSIS

Chen daguang; liu fusheng

Volume 9 Issue 4

Oct. 1994

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Chen daguang, liu fusheng. AN ARTIFICIAL NEURAL NETWORK APPLIED TO AIRCRAFT GAS TURBINE DIAGNOSIS[J]. Journal of Aerospace Power, 1994, 9(4): 344-348.

Citation:

Chen daguang, liu fusheng. AN ARTIFICIAL NEURAL NETWORK APPLIED TO AIRCRAFT GAS TURBINE DIAGNOSIS[J]. Journal of Aerospace Power, 1994, 9(4): 344-348.

Chen daguang, liu fusheng. AN ARTIFICIAL NEURAL NETWORK APPLIED TO AIRCRAFT GAS TURBINE DIAGNOSIS[J]. Journal of Aerospace Power, 1994, 9(4): 344-348.

Citation:

Chen daguang, liu fusheng. AN ARTIFICIAL NEURAL NETWORK APPLIED TO AIRCRAFT GAS TURBINE DIAGNOSIS[J]. Journal of Aerospace Power, 1994, 9(4): 344-348.

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AN ARTIFICIAL NEURAL NETWORK APPLIED TO AIRCRAFT GAS TURBINE DIAGNOSIS

4th Dept.,Beijing University of Aeronautics and Astronautics,Beijing 100083

Received Date: 1993-11-01
Rev Recd Date: 1994-03-01
Publish Date: 1994-10-28

Abstract

Abstract

An artificial neural network based expert system has been developed and is applied to aircraft turbofan engine fault diagnosis.The case study of a high bypass ratio turbofan engine has verified the feasibility of a three-layer back propagation network.The very encouraging diagnostic results prove that the fuzzy association feature, the distributed memorizing and parallel processing ability,and the random error depressing capability make it an effective and quick method which has a very bright perspective and can be used extensively for aircraft engine diagnosis.