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]
引用
收藏
页数:5
相关论文
共 50 条
  • [41] Fault Analysis and Diagnosis of Downhole Traction Robot Hydraulic System
    Fang, Delei
    Xue, Yong
    Jia, Guofeng
    Li, Pan
    Tang, Jie
    Wang, Xiaoming
    [J]. INTERNATIONAL JOURNAL OF FLUID POWER, 2023, 24 (03) : 513 - 536
  • [42] Leakage fault diagnosis of hydraulic system based on wavelet analysis
    Chen, J
    Zeng, SP
    Yang, XM
    [J]. Wavelet Analysis and Active Media Technology Vols 1-3, 2005, : 971 - 975
  • [43] Application of parameter estimation method to fault diagnosis of a hydraulic system
    Yu, DL
    [J]. (SYSID'97): SYSTEM IDENTIFICATION, VOLS 1-3, 1998, : 609 - 614
  • [44] Fault Diagnosis Expert System for Hydraulic Pressure Based on Web
    Kang Wei
    Chang Guangjian
    Shi Wen
    [J]. PROCEEDINGS OF THE THIRD INTERNATIONAL SYMPOSIUM ON TEST AUTOMATION & INSTRUMENTATION, VOLS 1 - 4, 2010, : 1288 - 1291
  • [45] Fault Diagnosis for Hydraulic Gauge System Based on Data Fusion
    Huo Zehua
    Dong Min
    [J]. 2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2015, : 2776 - 2779
  • [46] The fault diagnosis of hydraulic system based on the technology of data fusion
    Han, SS
    Liu, XB
    Chao, ZQ
    Niu, YJ
    [J]. ISTM/2005: 6th International Symposium on Test and Measurement, Vols 1-9, Conference Proceedings, 2005, : 8369 - 8372
  • [47] Analysis on Fault Diagnosis of Hydraulic System in the Natural Gas Compressor
    Nie Huanhuan
    Yu Guoyan
    Zhang Shiliang
    [J]. 2013 FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND ENGINEERING APPLICATIONS, 2013, : 121 - 124
  • [48] Research on Hydraulic Cylinder Fault Diagnosis System Based on ARM
    Zhao, Xiuxu
    Hu, Zhemin
    Shang, Yanchen
    [J]. HYDRAULIC EQUIPMENT AND SUPPORT SYSTEMS FOR MINING, 2013, 619 : 489 - 493
  • [49] Fault detection and diagnosis in AHU system using deep learning approach
    Masdoua, Yanis
    Boukhnifer, Moussa
    Adjallah, Kondo H.
    Benterki, Abdelmoudjib
    [J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2023, 360 (17): : 13574 - 13595
  • [50] Multi-Fault Diagnosis Approach Based on Updated Interacting Multiple Model for Aviation Hydraulic Actuator
    Sun, Xiaozhe
    Wang, Xingjian
    Lin, Siru
    [J]. INFORMATION, 2020, 11 (09)