Research on Integration Modular Avionics System Health Management

  • Miao WangEmail author
  • Lihua Zhang
  • Qingfan Gu
  • Guoqing Wang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 296)


Integrated Modular Avionics (IMA) synthesizes the information, resource, ability, and process of avionics system to form unified information collection, united resource allocation, unified capacity organization, unified process synergy, unified function integration, and unified system management through sharing, integration, synergy, and fusion so as to achieve the goal of low cost, high efficiency, high efficacy, high performance, and high reliability. However, realization of avionics system integration will be confronted with many problems. In this paper, we first analyze the problems of IMA system and the relations among each problem in detail and describe organizational process of system heath capability; second, aiming at the above problems, we propose the solution to system health management, analyze, and summarize the solution in detail.


IMA Health management Failure Capability 



This paper is supported by Avionics Science Foundation (No. 20125552053), National Key Basic Research Program of China (No. 2014CB744900), and Graduate starting seed fund of Northwestern Polytechnical University (No. Z2013130).


  1. 1.
    Pecht M et al (2010) A prognostics and health management roadmap for information and electronics-rich systems. Microelectron Reliab 50:317–323Google Scholar
  2. 2.
    Zhang S, Kang R et al (2008) China’s efforts in prognostics and health management. IEEE Trans Compon Packag Technol 31(2):509–518Google Scholar
  3. 3.
    Garvey DR et al (2007) Dynamic prognoser architecture via the path classification and estimation (PACE) model. Artificial intelligence for prognostics. In: AAAI fall symposium, pp 44–49Google Scholar
  4. 4.
    Brotherton T, Luppold R et al (2005) Generic integrated PHM/controller system. In: IEEE Aerospace Conference, pp 3427–3437 Google Scholar
  5. 5.
    Eli D (2009) Introduction to the special section on prognostic and health management. IEEE Trans Reliab 58(2):262–263Google Scholar
  6. 6.
    Microelectronics Reliability (2007) Life cycle cost impact of using prognostic health management(phm) for helicopter avionics. Microelectron Reliab 47(12):1857–1864Google Scholar
  7. 7.
    Groza V, Mansour HA et al (2007) A self-reconfigurable Platform for built-in self-test applications. IEEE Trans Instrum Meas 56(4):1307–1315Google Scholar
  8. 8.
    Gizopoulos D, Hatzimihail M et al (2008) Systematic software-based self-test for pipelined processors. IEEE Trans Very Large Scale Integr Syst 16(11):1441–1453Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Miao Wang
    • 1
    • 3
    Email author
  • Lihua Zhang
    • 1
    • 2
  • Qingfan Gu
    • 3
  • Guoqing Wang
    • 1
    • 2
    • 3
  1. 1.Science and Technology on Avionics Integration LaboratoryShanghaiChina
  2. 2.School of Computer Science and EngineeringNorthwestern Polytechnical UniversityXi’AnChina
  3. 3.China National Aeronautical Radio Electronics Research InstituteShanghaiChina

Personalised recommendations