Skip to main content

Composite Observers for Failure Detection in Multivariable Multi-Time Scale Systems

  • Conference paper
System Fault Diagnostics, Reliability and Related Knowledge-Based Approaches

Abstract

We propose a method for failure detection in complex multi-variable multi-time scale systems. It consists in the introduction of redundancies in the global system, with overlapping transformations on the slow variables. This decomposition applied simultaneously with the singular perturbations method allows to build composite decentralised observers and to identify malfunctioning sensors. A comparison is made on an example between failure detection results obtained with full-rank composite observers and those deduced from the design of slow local subobservers.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Dauphin-Tanguy G. (1986) ‘Failure detection by decentralised observers for complex multi-time scale systems’ Proc. of the International Conference on Analysis and Optimization of Systems, Antibes (France), Lectures Notes in Control and Information Sciences, Springer Verlag, pp. 668–679.

    Google Scholar 

  • Ikeda M., Siljak D.D. (1980) ‘Overlapping decompositions, expansions and contractions of dynamic systems’ Large Scale Systems, n° 1, pp. 29–38.

    Google Scholar 

  • O’Reilly J., (1979) ‘Full-order observers for a class of singularly perturbed linear time--varying systems’ Int. J. Control, 30, n° 5, pp. 745–756.

    Article  MathSciNet  MATH  Google Scholar 

  • Singh M.G., Hassan M.F., Chen Y.L., Pan Q.R., (1983) ‘New approach to failure detection in large-scale systems’ IEE Proceedings, 130, Part D, n° 5, pp. 243–249.

    MATH  Google Scholar 

  • Willsky A.S., (1976) ‘A survey of design methods for failure detection in dynamic systems’ Automatica, 12, pp. 601–611.

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1987 D. Reidel Publishing Company

About this paper

Cite this paper

Dauphin-Tanguy, G., Borne, P. (1987). Composite Observers for Failure Detection in Multivariable Multi-Time Scale Systems. In: Tzafestas, S., Singh, M., Schmidt, G. (eds) System Fault Diagnostics, Reliability and Related Knowledge-Based Approaches. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-3929-5_4

Download citation

  • DOI: https://doi.org/10.1007/978-94-009-3929-5_4

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-8243-3

  • Online ISBN: 978-94-009-3929-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics