Skip to main content

A Hierarchical FDIR Architecture Supporting Online Fault Diagnosis

  • Conference paper
  • First Online:
Communications, Signal Processing, and Systems (CSPS 2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 571))

  • 95 Accesses

Abstract

The differences of onboard faults characteristics and severity result in different models, methods and interfaces of fault diagnosis. Thus, FDIR (Fault Discovery, Identification and Recovery) systems usually use a hierarchical architecture in centralized or distributed styles. It is difficult for the centralized FDIR to guarantee the timeliness and coverage of fault diagnosis simultaneously, and the distributed one would bring safety problems. Both of them only focus on the health states of spacecrafts, while not considering its own reliability and reusability. Taking advantage of the above two, the architecture proposed by this paper keeps synthetic views of the spacecraft health states at higher levels and distributes local FDIR at lower levels to improve the timeliness and coverage of fault diagnosis simultaneously, which is based on the hierarchical architecture of spacecrafts and fault severity levels. To ensure the safety and reliability of the FDIR system, a highly decoupled runtime model is proposed. To improve the reusability of the architecture, a unified FDIR model is proposed, which includes hierarchical programming interfaces, etc.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Olive X (2012) FDI (R) for satellites: how to deal with high availability and robustness in the space domain? Int J Appl Math Comput Sci 22(1):99–107

    Google Scholar 

  2. Gessner R et al (2004) Hierarchical FDIR concepts in S/C systems. In: Space OPS conference

    Google Scholar 

  3. Holsti N, Paakko M (2001) Towards advanced FDIR components. In: Data systems in aerospace, DASIA

    Google Scholar 

  4. Castel C et al (2006) FDIR strategies for autonomous satellite formations—a preliminary report. In: AAAI 2006 Fall symposium space autonomy: using AI to expand human space exploration

    Google Scholar 

  5. Zolghadri A (2012) Advanced model-based FDIR techniques for aerospace systems: today challenges and opportunities. Progr Aerosp Sci 53:18–29

    Google Scholar 

  6. Tipaldi M, Bruenjes B (2015) Survey on fault detection, isolation, and recovery strategies in the space domain. J Aerosp Inf Syst 12(2):235–256

    Google Scholar 

  7. Zolghadri A (2018) The challenge of advanced model-based FDIR for real-world flight-critical applications. Eng Appl Artif Intell 68:249–259

    Google Scholar 

  8. Elfving A, Stagnaro L, Winton A (2003) SMART-1: key technologies and autonomy implementations. Acta Astronaut 52:475–486

    Article  Google Scholar 

  9. Wilmot J (2005) A core flight software system. In: Third IEEE/ACM/IFIP international conference on hardware/software codesign and system synthesis (CODES + ISSS’05). IEEE

    Google Scholar 

  10. Lemai S, Charmeau M, Olive X (2006) Decisional architecture for autonomous space systems. In: 9th ESA workshop on advanced space technologies for robotics and automation (ASTRA 2006), ESTEC, Noordwijk, The Netherlands

    Google Scholar 

  11. Dubey A, Karsai G, Mahadevan N (2011) Model-based software health management for real-time systems. In: Aerospace conference. IEEE

    Google Scholar 

Download references

Acknowledgements

This paper is partly supported by the Pre-research of Civil Spacecraft Technology (No. B0204).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Panpan Zhan .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Yuan, C., Peng, R., Zhan, P., Yuan, F. (2020). A Hierarchical FDIR Architecture Supporting Online Fault Diagnosis. In: Liang, Q., Wang, W., Liu, X., Na, Z., Jia, M., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2019. Lecture Notes in Electrical Engineering, vol 571. Springer, Singapore. https://doi.org/10.1007/978-981-13-9409-6_305

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-9409-6_305

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9408-9

  • Online ISBN: 978-981-13-9409-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics