Volume 29 Issue 7
Jul.  2003
Turn off MathJax
Article Contents
Song Hua, Zhang Hongyue. Fuzzy basis function network based approach for fault information detection in unknown systems[J]. Journal of Beijing University of Aeronautics and Astronautics, 2003, 29(7): 570-574. (in Chinese)
Citation: Song Hua, Zhang Hongyue. Fuzzy basis function network based approach for fault information detection in unknown systems[J]. Journal of Beijing University of Aeronautics and Astronautics, 2003, 29(7): 570-574. (in Chinese)

Fuzzy basis function network based approach for fault information detection in unknown systems

  • Received Date: 28 Apr 2002
  • Publish Date: 31 Jul 2003
  • Fuzzy basis function network (FBFN) based on T-S fuzzy model is given. A general approach for fault information detection in unknown systems using FBFN is present. The unknown system is composed of known part and unknown part. The output of an actual system is composed of three portions: the output of a mathematical model, the output of unknown part and fault information. The known part can be represented by a mathematical model. The unknown part, which includes the uncertainty of model error, disturbance inputs, etc, is estimated by a FBFN. The fault information in the unknown system can be estimated using the outputs of actual system, the mathematical model and FBFN.A simulation example of fault information detection in a microwave landing system of an aircraft is given.

     

  • loading
  • [1] Wang X Z, Lu M L, Greavy C Mc. Learning dynamic fault models based on a fuzzy set covering method[J] Computers Chem Engng, 1997, 21(6):621~630 [2] Zhang H Y, Chan C W, Cheung K C,et al. Fuzzy artmap neural network and its application to fault diagnosis of navigation systems[J] utomatica, 2001(37):1065~1070 [3] Calado J M F, Costa J M G sa da. A hierarchical fuzzy neural network approach for multiple fault diagnosis .In:UKACC International Conference on CONTROL'98 , 1998.1498~1503 [4] AI-Jarrah O, AI-Rousan M M. Fault detection and accommodation in dynamic systems using adaptive neurofuzzy systems[J] EE Proc Control Theory Appl, 2001, 148(4):283~290 [5] Wang L X. Adaptive fuzzy systems and control:design stability analysis . Englewood:PTR Prentice-Hall,1994 [6] 张汉国,张洪钺.飞机着陆时的容错导航[J] 空学报,1993,14(1):A104~A108 Zhang Hanguo, Zhang Hongyue. Fault tolerant navigation for aircraft landing[J] Acta Aeronautica Et Astronautica Sinica, 1993,14(1):A104~A108(in Chinese)
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views(2517) PDF downloads(767) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return