DocumentCode :
1592633
Title :
Tank gun recoil mechanism technical condition assessment based on improved kernel function SVM
Author :
Su Zhongting ; Zhenjun, Yang ; Xuexin, Zhang
Author_Institution :
Acad. of Armored Force Eng., Beijing, China
Volume :
4
fYear :
2011
Firstpage :
361
Lastpage :
363
Abstract :
Recoil mechanism technical condition assessment is the presupposition of outfit using and servicing. This paper import support vector machine and upbuild recoil mechanism technical condition assessment model based on analyzing and dealing with recoil and counterrecoil parameter by dint of artificial recoiling on-line test equipment. The optimizing of assessment model using combined kernel function improved the preciseness. Instance analysis indicated that the pattern recognition method based on improved kernel function support vector machine is effective for evaluating recoil mechanism technical condition.
Keywords :
military vehicles; pattern recognition; support vector machines; artificial recoiling; assessment model; counterrecoil parameter; improved kernel function SVM; instance analysis; online test equipment; pattern recognition; support vector machine; tank gun recoil mechanism; technical condition assessment; Aggregates; Correlation; Kernel; Resistance; Support vector machines; Testing; Training; improved kernel function; recoil mechanism; support vector machine; technical condition assessment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Measurement & Instruments (ICEMI), 2011 10th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8158-3
Type :
conf
DOI :
10.1109/ICEMI.2011.6038016
Filename :
6038016
Link To Document :
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