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Author:

Niu, Yue-Ting (Niu, Yue-Ting.) | Mu, Xi-Hui (Mu, Xi-Hui.) | Jiang, Zhi-Bao (Jiang, Zhi-Bao.) | Yang, Zhen-Hai (Yang, Zhen-Hai.)

Indexed by:

EI Scopus PKU CSCD

Abstract:

In our country, a certain type of accelerometer is stored in four typical climate zones which are sub humid, Asia hot, mild and dry zones. In view of the historical statistics (accelerometer's success or failure, and incomplete failure data), assuming that they are subject to exponential distribution, Weibull distribution, extreme value distribution and logarithmic normal distribution, and by combining with the engineering data to handle the exceptions and 'upside down' data, a minimum χ2 estimation method is used to estimate the parameters of the distribution function, and the fit goodness of 'obey distributed random variables under different degrees of freedom χ2' test is calculated. In this way the storage reliability distribution function of an accelerometer is obtained. The fault data statistics verify the applicability and validity of the proposed mathematical model assessment method, and the accelerometer natural storage life is obtained under the condition of confidence 0.90 and reliability 0.95.

Keyword:

Estimation Normal distribution Degrees of freedom (mechanics) Digital storage Weibull distribution Distribution functions Accelerometers

Author Community:

  • [ 1 ] [Niu, Yue-Ting]General Armament Ordnance Technology Institute, Shijiazhuang ; 050000, China
  • [ 2 ] [Mu, Xi-Hui]General Armament Ordnance Technology Institute, Shijiazhuang ; 050000, China
  • [ 3 ] [Jiang, Zhi-Bao]General Armament Ordnance Technology Institute, Shijiazhuang ; 050000, China
  • [ 4 ] [Yang, Zhen-Hai]Beijing University of Technology, Beijing ; 100022, China

Reprint Author's Address:

  • [niu, yue-ting]general armament ordnance technology institute, shijiazhuang ; 050000, china

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Source :

Journal of Chinese Inertial Technology

ISSN: 1005-6734

Year: 2014

Issue: 4

Volume: 22

Page: 552-556

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 7

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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