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《Ordnance Industry Automation》 2008-07
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Diagnosis of Aeroengines Gas Path Faults Based on Generalized Regression Neural Networks

TANG Chang-sheng,QU Jian-ling,LI Fu-rong,GAO Feng (Staff Room of Aviation Meter & Control Engineering,Qingdao Branch,Naval Aeronautical & Astronautical University,Qingdao 266041,China)  
In order to develop the application value of flight data adequately,a diagnosis method aims at aeroengins’ gas path faults was proposed by using flight data and generalized regression neural networks. Via analyzing mechanism of aeroengines’ gas path faults,the Generalized Regression Neural Network Model used for diagnosis of aeroengines’ gas path faults was built,which uses seven parameters interrelated with aeroengines’ performance in flight data and typical fault data. The method was test to be effective.
【CateGory Index】: V253;TP183
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【Citations】
Chinese Journal Full-text Database 3 Hits
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