火力与指挥控制2016，Vol.41Issue(6)：104-107,4.
基于小波变换与SVM的复杂装备故障诊断研究
Research on Fault Diagnosis of Complex Equipment Based on Wavelet Transformation and Support Vector Machine
摘要
Abstract
With respect to the difficulty of signal extraction and the low accuracy in fault diagnosis in complex equipment,taking the advantage of the adaption of wavelet transformation in processing non-stationary signal and the advantage of the adaption of Support Vector Machine in mode classification,a fault diagnosis model which is based on wavelet transformation and SVM is put forward. The power distribution system is selected in simulation experiment of fault diagnosis. The results show that the model can complete fault diagnosis with a few training samples and the accuracy of fault diagnosis can be improved effectively.关键词
复杂装备/小波变换/SVM/故障诊断Key words
complex equipment/wavelet transformation/SVM/fault diagnosis分类
军事科技引用本文复制引用
郑铌,张琳,汤煜,王君,唐晓兵..基于小波变换与SVM的复杂装备故障诊断研究[J].火力与指挥控制,2016,41(6):104-107,4.基金项目
国家自然科学基金（61473163）；全军军事类研究生基金（2014JY522）；陕西省自然科学基金资助项目 （）
