Volume 47 Issue 10
Oct.  2021
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XU Jiajin. Gao Zhentong method in intelligentization of statistics in fatigue[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(10): 2024-2033. doi: 10.13700/j.bh.1001-5965.2020.0373(in Chinese)
Citation: XU Jiajin. Gao Zhentong method in intelligentization of statistics in fatigue[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(10): 2024-2033. doi: 10.13700/j.bh.1001-5965.2020.0373(in Chinese)

Gao Zhentong method in intelligentization of statistics in fatigue

doi: 10.13700/j.bh.1001-5965.2020.0373
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  • Corresponding author: XU Jiajin, E-mail: xujiajin666@163.com
  • Received Date: 30 Jul 2020
  • Accepted Date: 27 Nov 2020
  • Publish Date: 20 Oct 2021
  • The Weibull distribution plays a very important role in statistics in fatigue, but the Weibull distribution of the three parameters is more complicated in mathematical form. The three parameters can be estimated through sample data. One is the "Weibull probability paper", but this method is inconvenient to use and the error is relatively large. The other is the "analytical method". To solve the three simultaneous transcendental equations, although it can be solved by a computer, there is still the problem of "incompatibility". To this end, an intelligent solution-Gao Zhentong method is proposed, which makes full use of the characteristics of Python and can conveniently give the three parameters of Weibull distribution at the same time. This lays a solid foundation for the theoretical research, practical application and intelligentization of statistics in fatigue of Weibull distribution.

     

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