中南大学学报（自然科学版）2011，Vol.42Issue(12)：3709-3714,6.
基于PCA和BP网络的液压油缸内泄漏故障诊断
Internal leakage fault diagnosis of hydraulic cylinder using PCA and BP network
摘要
Abstract
Based on the fact that in fault diagnosis for internal leakage of hydraulic cylinder, many time-domain features are selected from pressure singal to make diagnosis slow and unreal-time, a fault diagnosis approach based on principal component analysis(PCA) and BP network was proposed. According to the method, time-domain paramers of pressure singal were selected as prime features at first, and then PCA was used to get the final features. At last, these final features were input into BP network to identify faults. The results show that the method can meet the recognition rate and increase diagnosis speed, so it can be used in the leakage fault diagnosis of hydraulic cylinder.关键词
液压油缸内泄漏/故障诊断/主成分分析/BP网络Key words
internal leakage of hydraulic cylinder/ fault diagnosis/ principal component analysis(PCA)/ BP network分类
信息技术与安全科学引用本文复制引用
唐宏宾,吴运新,滑广军,马昌训..基于PCA和BP网络的液压油缸内泄漏故障诊断[J].中南大学学报（自然科学版）,2011,42(12):3709-3714,6.基金项目
国家高技术研究发展计划("863"计划)项目(2008AA042801,2008AA042802) （"863"计划）
