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《Journal of Projectiles,Rockets,Missiles and Guidance》 2005-SB
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Missile Inertia Device Fault Prediction System Based on Support Vector Machine

CHEN Wei HU Chang-hua FANG Hua-yuan DING Li (The Second Artillery Engineering Institute,Xi'an 710025,China)  
According to design requirement of missile inertia device fault prediction system and the advantage of support vector machine(SVM).the training algorithm of SVM in missile inertia device fault prediction has been put forward.A missile inertia device fault prediction system has been established with SVM,fault prediction technique and fault diagno- sis system.This system with SVM forecasting model has been used to build model and analysis gyroscope drift of a cer- tain missile.The simulated experiment proved the forecasting model and the algorithm is valid and acceptable.
【CateGory Index】: E927
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