Impact Analysis on Accelerating Deterioration to Maintenance of Latent Fault

  • Peng BoEmail author
  • Jin Xing
  • Chang Hao
  • Lu Hai
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 142)


Accelerating deterioration after latent fault appearance has a major influence on instituting maintenance strategy. Based on residual life after latent fault appearance, with the aim to acquire the minimal mean cost, the paper proposes maintenance model of regular inspection combined with periodic maintenance. The model of accelerating deterioration is discussed by calculating expected cumulative degradation cost. In the end the influence of accelerating deterioration on maintenance strategy is analyzed.


unobvious latent fault accelerating deterioration regular inspection periodic maintenance 


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  1. 1.
    Zeng, S., Zhao, T., Zhang, J., et al.: System reliability Design Tutorial. Beijing Aeronautics and Astronautics Press, China (2006)Google Scholar
  2. 2.
    Das, A.N., Acharya, D.: Age Replacement of Componets During IFR Delay Time. IEEE Transacion on Reliability 53, 306–310 (2004)CrossRefGoogle Scholar
  3. 3.
    Xisheng, J., Krist, A.H., Liang, W.: A Failure Finding Model with a Potential Failure State. Journal of Ordnance Engineering College 16, 6–10 (2004)Google Scholar
  4. 4.
    Wang, W., Christer, A.H.: Solution Algorithm for a Non-homogeneous Multi-component Inspection Model. Computers and Operations Research 30, 19–34 (2003)MathSciNetzbMATHCrossRefGoogle Scholar
  5. 5.
    Christer, A.H., Waller, W.M.: Reducing Production Downtime Using Delay Time Analysis. Journal of the Operational Research Society 35, 499–512 (1984)Google Scholar

Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Company of Postgraduate Managementthe Academy of Equipment Command&TechnologyBeijingChina
  2. 2.Department of Space Equipmentthe Academy of Equipment Command&TechnologyBeijingChina

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