• DocumentCode
    1743733
  • Title

    A time-frequency domain fault detection approach based on parity relation and wavelet transform

  • Author

    Ye, Hao ; Zhang, Ping ; Ding, S.X. ; Wang, G.Z.

  • Author_Institution
    Dept. of Autom., Tsinghua Univ., Beijing, China
  • Volume
    4
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    4156
  • Abstract
    Problems related to the design of robust residual generators have been studied. The main objective of our study is to make use of the simple time domain design form of the parity relation based approach and the frequency domain analysis known by the H2-optimization approach, in order to improve the system performance without an essential increase in computation. We establish a relationship between the parity relation based and the H2 optimal residual generators and show that the optimal parity vector vs converges to the H2-optimal post-filter with s→∞. Making use of the fact that the H2-optimal post-filter is a narrow band filter and the well known time-frequency domain properties of the wavelet transform, a time-frequency domain approach is developed, which allows us to design a residual generator based on the wavelet transform. The significant property of such kind of residual generators is its simple form, low order and high performance. The main results are illustrated by examples
  • Keywords
    fault diagnosis; filtering theory; matrix algebra; optimisation; time-frequency analysis; vectors; wavelet transforms; H2-optimal post-filter; H2-optimization approach; narrow band filter; optimal parity vector; parity relation; robust residual generators; time-frequency domain fault detection approach; Fault detection; Filters; Frequency domain analysis; Narrowband; Robustness; System performance; Time domain analysis; Time frequency analysis; Wavelet domain; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
  • Conference_Location
    Sydney, NSW
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-6638-7
  • Type

    conf

  • DOI
    10.1109/CDC.2000.912367
  • Filename
    912367