Title :
An airframe vibration interference detection system based on SVR
Author :
Li Huan ; Ren Bo
Author_Institution :
Sch. of Inf. Sci. & Eng., Shenyang Ligong Univ., Shenyang, China
Abstract :
Missile is impacted by the high-speed airflow during flight. Vibration interference signal affects guided precision. The interference signal must be detected and filtered. This article focuses on the basic principle of support vector regression machine (SVR). SVR-based elastomer vibration interference prediction model is established. SVR training is conducted through the simulation data of the accelerometer measured. Take example of interference caused by high-speed airflow (such as cross-wind) impact during missile flight, the interference signals are detecteding and filtereding. MATLAB is used in Computer simulation.
Keywords :
accelerometers; aerospace components; condition monitoring; fault diagnosis; filtering theory; interference (signal); mathematics computing; mechanical engineering computing; missiles; regression analysis; signal detection; support vector machines; vibrations; Matlab; SVR; SVR training; SVR-based elastomer vibration interference prediction model; accelerometer; airframe vibration interference detection system; computer simulation; high-speed airflow; impact; missile flight; signal filtering; support vector regression machine; Educational institutions; Electronic mail; Interference; MATLAB; Missiles; Support vector machines; Vibrations; SVR; Signal detection; Vibration interference signal;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an
