Data-Driven Based Gas Path Fault Diagnosis for Turbo-Shaft Engine
2012 ◽
Vol 249-250
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pp. 400-404
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Keyword(s):
In order to improve diagnostic accuracy and reduce the rate of misdiagnosis to the aircraft engine gas path faulty, the methods based on data-driven and information fusion are developed and analyzed. BP neural network (NN) and RBF neural network based on data-driven single gas path fault diagnosis method is introduced firstly. Design gas path performance estimators and the fault type classification for turbo-shaft engine. Then the gas path fused diagnostic structure based on D-S evidence theory and least squares support vector machine are developed. Comparisons of the turbo-shaft engine gas path fault diagnosis verify the feasibility and effectiveness of the gas path fault diagnosis based on information fusion.
2018 ◽
Vol 435
◽
pp. 012023
Keyword(s):
2018 ◽
Vol 65
(7)
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pp. 5990-5998
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Keyword(s):
2014 ◽
Vol 666
◽
pp. 203-207
2015 ◽
Vol 727-728
◽
pp. 872-875
Keyword(s):