Skip to main content
Log in

Analysis of fault detection method based on predictive filter approach

  • Published:
Science in China Series F: Information Sciences Aims and scope Submit manuscript

Abstract

A new detection method for component faults based on predictive filters together with the fault detectability, false alarm rate, missed alarm rate and upper bound of detection time are proposed. The efficiency of the method is illustrated by a simulation example of a second-order system. It is shown that the fault detection method using predictive filters has a small delay, a low false alarm rate and a low missed alarm rate. Furthermore the filter can give accurate estimates of states even after a fault occurs. The real-time estimation provided by this method can also be used for fault tolerant control.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Frank, P. M., Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy-A survey and some new results, Automatica, 1990, 26: 459–474.

    Article  MATH  Google Scholar 

  2. Isermann, R., Process fault detection based on modeling and estimation methods: A survey, Automatica, 1984, 20: 387–404.

    Article  MATH  Google Scholar 

  3. Farrell, J. A., Berger, T., Appleby, B. D., Using learning techniques to accommodate unanticipated faults, IEEE Contr. Syst. Mag., 1993, 13: 40–49.

    Article  Google Scholar 

  4. Polycarpou, M. M., Helmicki, M. A., Automated fault detection and accommodation: A learning approach, IEEE Trans. Syst., Man, Cybern., 1995, 25: 1447–1458.

    Article  Google Scholar 

  5. Ping Lu, Nolinear predictive controllers for continuous systems, Journal of Guidance, Control and Dynamics, May–June 1994, 17(3): 553–560.

    Article  MATH  Google Scholar 

  6. Crassidis, J. L., Markley, F. L., Predictive filtering for nonlinear systems, Journal of Guidance Control and Dynamics, 1997, 20(3): 566–572.

    Article  MATH  Google Scholar 

  7. Crassidis, J. L., Markley, F. L., Predictive filtering for attitude estimation without rate sensors, Journal of Guidance, Control, and Dynamics, 1997, 20(3): 522–527.

    Article  MATH  Google Scholar 

  8. Lin Yurong, Deng Zhenglong, Star-sensor-based predictive Kalman filter for satellite attitude estimation, Science in China (Series F), 2002, 45(3): 189–195.

    Google Scholar 

  9. Slotine, J. J. E., Li, W., Applied Nonlinear Control, New York: Prentice-Hall, 1991, 229–236.

    MATH  Google Scholar 

  10. Polycarpou, M. M., Trunov, A. B., Learning approach to nonlinear fault diagnosis: Detectability analysis, IEEE Transactions on Automatic Control, 2000, 45(4): 806–812.

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hongyue Zhang.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Li, J., Zhang, H. Analysis of fault detection method based on predictive filter approach. Sci China Ser F 48, 335–353 (2005). https://doi.org/10.1360/04yf0224

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1360/04yf0224

Keywords

Navigation