• DocumentCode
    2469966
  • Title

    Research on storage life prediction method for strapdown inertial navigation system

  • Author

    Luo, Kai ; Han, Liming ; Fang, Hongzheng ; Hou, Shumin

  • Author_Institution
    Beijing Aerosp. Meas. & Control Corp., Beijing, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    For the high reliability and low cost benefits, the strapdown inertial navigation systems are widely applied to weapon systems. During the using course, the reliability and performance of strapdown inertial navigation system will degenerate periodically. As known, the system has service life which provided by fabricant, but it also has storage life which is influenced by the storage elements, such as temperature, humidity, vibration and so on. In this paper, we discuss the storage life prediction method for strapdown inertial navigation system by the reliability life test. Above all, we analyze the theory of storage life prediction for the strapdown inertial navigation system, mainly about the relationship of the navigation system´s fault, nature element and storage life. Then the system storage life prediction method is researched based on statistics model and performance degenerate model. At last, these prediction algorithms are illustrated by the practical reliability life test data, and the applicability of every algorithm is discussed for strapdown inertial navigation system. These methods were applied in a practical equipment maintenance support project, which can provide technical support for the product reliability and life prolong research in the future.
  • Keywords
    inertial navigation; life testing; reliability; high reliability; humidity; statistics model; storage life prediction method; strapdown inertial navigation system; temperature; vibration; Acceleration; Accuracy; Analytical models; Mathematical model; Reliability; Temperature; Weapons; Accelerate life test; life prediction; storage life; strapdown Inertial Navigation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Prognostics and System Health Management (PHM), 2012 IEEE Conference on
  • Conference_Location
    Beijing
  • ISSN
    2166-563X
  • Print_ISBN
    978-1-4577-1909-7
  • Electronic_ISBN
    2166-563X
  • Type

    conf

  • DOI
    10.1109/PHM.2012.6228878
  • Filename
    6228878