Fault diagnosis approach of hydraulic system using FARX model

被引:3
|
作者
He, Xiangyu [1 ]
机构
[1] Cent S Univ, Coll Automobile & Mech Engn, Changsha 410083, Hunan, Peoples R China
来源
CEIS 2011 | 2011年 / 15卷
关键词
Hydraulic system; construction machinery; fault diagnosis; fuzzy logic; auto-regressive with extra outputs (ARX) model;
D O I
10.1016/j.proeng.2011.08.175
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A Fuzzy ARX (Fuzzy Auto-Regressive with eXtra inputs) model structure and corresponding fault feature extraction is studied and a fault feature extraction approach for the hydraulic system of construction machinery based on Fuzzy ARX model is proposed. Compared with classical ARX model, Fuzzy ARX model is capable to extract nonlinear features. On the basis of target fault features, FCM (Fuzzy Clustering Means) is served as fault classifier and the output of the FCM is the result of diagnosis. Several typical faults of hydraulic system were used to test the fault diagnosis approach. Experimental results show that all the test faults were correctly identified, and the fault diagnosis approach proved feasible and effective on construction machinery hydraulic system. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of [CEIS 2011]
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页数:5
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