Advertisement

Modeling and Multi-state Analysis for Availability of a Navigation Monitor Network

  • Zhuopeng YangEmail author
  • Feng Xue
  • Jinjing Wang
  • Heng Zheng
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 340)

Abstract

For characteristics of reliability, maintainability, supportability and multi-state about a navigation monitor network under real environment, Petri net (PN) and Bayesian network (BN) are applied integrated to availability modeling and analysis of a navigation monitor network in this paper. The relationship of equipments and MTBF, MTTR, MADT, sufficiency, MSRT of spaces are combined for availability modeling of monitor stations by PN. According to normal, degraded and failed states of monitor stations, availability modeling of the monitor network are obtained by BN. By analysis, nominal availability, degraded availability and failed state probability of the monitor network and weakness of monitor stations are confirmed. The multiple schemes are proposed and compared for improving availability. The result shows, improving sufficiency plays a more role in improving availability under real environment, and this method can be used for availability modeling and analysis.

Keywords

Availability Multi-state Petri net Bayesian network 

References

  1. 1.
    Harker RM, Nelson ZK Jr (1999) GPS ground control network modernization. In: ION NTM 1999, San Diego, pp 101–107Google Scholar
  2. 2.
    Lucas R, Hahn JH, Dinwiddy S et al (2000) Galileo space and ground segment definition: system and performance.In: ION GPS 2000, Salt Lake City, UT, pp 19–22Google Scholar
  3. 3.
    Lugert M, Falcone M, Brough M et al (2000) The GalileoSat ground segment architecture concept and operational approach. In: ION GPS 2000, Salt Lake City, UT, pp 19–22Google Scholar
  4. 4.
    Payne C, Toribio S (2005) The Galileo ground control segment: controlling the constellation. In: The European navigation conference GNSS 2005. Munich, Germany, 19–22 July 2005Google Scholar
  5. 5.
    Stanton BJ, Strother R (2007) Analysis of GPS monitor station outages. In: ION GNSS 2007, Fort Worth, TX, pp 176–183, 25–28 Sept 2007Google Scholar
  6. 6.
    Quiles A, Schlarmann BK, Ballereau A et al (2009) Development and verification of Galileo ground mission segment (GMS). In: ION 22nd international meeting of the satellite division, Savannah, GA, pp 2980–2989Google Scholar
  7. 7.
    Blomenhofer H, Ehret W, Leonard A (2004) GNSS/Galileo global and regional integrity performance analysis. In: ION 2004Google Scholar
  8. 8.
    Jesen FV (2001) Bayesian networks and decision graphs. Springer, New York, pp 18–28Google Scholar
  9. 9.
    Van der Gaag LC (1996) Bayesian belief networks: odds and ends. Comput J 39:97–113Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Zhuopeng Yang
    • 1
    Email author
  • Feng Xue
    • 2
  • Jinjing Wang
    • 1
  • Heng Zheng
    • 1
  1. 1.China Academy of Aerospace Standardization and Product AssuranceBeijingChina
  2. 2.Beijing Global Information Center of Application and ExploitationBeijingChina

Personalised recommendations