Title :
The research on data analyzing and processing of solid ducted rocket test based on artificial neural network method
Author :
Liu, Qiang ; Bao, Futing ; Xu, Hao ; Xia, Bingge
Author_Institution :
Sch. of Astronaut., Northwestern Polytech. Univ., Xi´´an, China
Abstract :
In order to solve the problem of the difficulty in judging the abnormal test data of solid ducted rocket, this paper introduces a data mining method based on artificial neural network to detect and recovery the abnormal parameters. The method has been verified with test data of a certain type of motor. The research shows that artificial neural network method is an efficient, reliable and novel approach for data analyzing and processing of solid ducted rocket test.
Keywords :
aerospace computing; aerospace testing; data mining; neural nets; rockets; artificial neural network; data mining; solid ducted rocket test; Artificial neural networks; Biological neural networks; Data mining; Input variables; Mathematical model; Neurons; Sensitivity; data analysis; data mining; neural network; solid ducted rocket;
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4577-1414-6
DOI :
10.1109/CECNet.2012.6201973
