机械科学与技术2011，Vol.30Issue(12)：2008-2012,5.
基于FARX模型的工程机械液压系统故障特征提取方法研究
Fault Feature Extraction of Construction Machinery Hydraulic System Based on FARX Model
摘要
Abstract
In order to improve reliability and intelligence level of construction machinery, the FARX （ Fuzzy AutoRegressive with eXtra inputs） model structure is established and a fault feature extraction approach is proposed for the hydraulic system of construction machinery based on FARX model. Compared with classical ARX model, FARX model is capable to extract nonlinear features of hydraulic system. On the basis of target fault features, FCM （ Fuzzy Clustering Means） is served as fault classifier and the output of FCM is the result of fault diagnosis. Five typical faults of hydraulic system were used to test the fault diagnosis approach proposed in this paper. Experimental results show that 90% of the test faults were correctly identified, and the fault diagnosis approach proved feasible and effective on construction machinery hydraulic system.关键词
液压系统/工程机械/故障诊断/模糊逻辑/有源自回归（ARX）模型Key words
hydraulic system/construction machinery/fault diagnosis/fuzzy logic/auto-regressive with extra out puts （ARX） model分类
信息技术与安全科学引用本文复制引用
贺湘宇,何清华..基于FARX模型的工程机械液压系统故障特征提取方法研究[J].机械科学与技术,2011,30(12):2008-2012,5.基金项目
“863”国家高技术研究发展计划项目（2003AA430200）,湖南省教育厅项目（09C075）和长沙理工大学“湖湘学者”项目（200807）资助 （）
