한국군사과학기술학회지 (Journal of the Korea Institute of Military Science and Technology)

  • 제17권5호
  • /
  • Pages.611-619
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  • 2014
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  • 1598-9127(pISSN)
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  • 2636-0640(eISSN)
한국군사과학기술학회 (The Korea Institute of Military Science and Technology)
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Combining data를 적용한 단일 표본화 방법론 연구

Single Sample Grouping Methodology using Combining Data

  • 백승준 (국립안동대학교 기계자동차공학과) ;
  • 손영갑 (국립안동대학교 기계자동차공학과) ;
  • 이승영 ((주)비츠로밀텍 R&D팀) ;
  • 안만기 (국방기술품질원 대전센터) ;
  • 김청식 (국방기술품질원 대전센터)
  • Back, Seungjun (Department of Mechanical & Automotive Engineering, Andong National University) ;
  • Son, Youngkap (Department of Mechanical & Automotive Engineering, Andong National University) ;
  • Lee, Seungyoung (R&D Team, Vitzromiltech Co., Ltd.) ;
  • Ahn, Mahnki (Daejeon Center, Defense Agency for Technology and Quality) ;
  • Kim, Cheongsig (Daejeon Center, Defense Agency for Technology and Quality)
  • 투고 : 2014.04.23
  • 심사 : 2014.09.05
  • 발행 : 2014.10.05
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초록

Combining similar data provides larger data sets through conducting test for homogeneity of several samples under various production processes or samples from different LOTs. The test for homogeneity has been applied to either variable or attribute data, and for variable data set physical homogeneity has been tested without consideration of the specification to the set. This paper proposes a method for test of homogeneity based on quality level through using both variable data and the specification. Quality-based test for homogeneity as a way of combining data is implemented by test for coefficient of variation in the proposed method. The method was verified through the application to the data set in open literature. And possibility to combine performance data for various types of thermal battery was discussed in order to estimate operation reliability.

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참고문헌

  1. Montgomery, D. C., "Design and Analysis of Experiments", John Wiley and Sons Inc., USA, 2005.
  2. Kleyner, A., Bhagath, S., Gasparini, M., Robinson, J., Bender, M., "Bayesian Techniques to Reduce the Sample size in Automotive Electronics Attribute Testing," Microelectronics Reliability, Vol. 37, No. 6, pp. 879-883, 1997. https://doi.org/10.1016/S0026-2714(96)00253-3
  3. Luis, J., "Combining Data," START(Selected Topic in Assurance Related Technologies), Vol. 11, No. 1, Reliability Analysis Center, 2004.
  4. Myles Hollander, M., Douglas, A., Nonparametric Statistical Methods, Wiley, 1999.
  5. Wan, Z, Tianlong, H., Shu, D., "Reliability Assessment Method Making Full Use of Metric Data for Fuze," 978-1-4244-4905-7, IEEE, 2009.
  6. Chou, Y.-M., Owen, D. B., "A Likelihood Ratio Test for the Equality of Proportions of Two Normal Populations," Communications in Statistics-Theory and Methods, Vol. 20, No. 8, pp. 2357-2374, 1991. https://doi.org/10.1080/03610929108830638
  7. Martz, H. F, Waller, R. A, Bayesian Reliability Analysis, Wiley, 1982.
  8. Guikema, S., Pate-Cornell, M., "Bayesian Analysis of Launch Vehicle Success Rates," Journal of Spacecraft and Rockets, Vol. 41, No. 1, pp. 93-102, 2004. https://doi.org/10.2514/1.9268
  9. Van Albada, S. J., Robinson, P. A., "Transformation of Arbitrary Distributions to the Normal Distribution with Application to EEG Test-Retest Reliability," Journal of Neuroscience Methods, Vol. 161, pp. 205-211, 2007. https://doi.org/10.1016/j.jneumeth.2006.11.004
  10. Chou, Y.-M., Polansky, A., Mason, R., "Transforming Non-Normal Data to Normality in Statistical Process Control," Journal of Quality Technology, Vol. 30, No. 2, pp. 133-141, 1998.
  11. Gerig, T. M., Sen, A. R., "MLE in Two Normal Samples With Equal but Unknown Population Coefficients of Variation," Journal of the American Statistical Association, Vol. 75, pp. 704-708, 1980.
  12. Forkman, F. J., "Coefficients of Variation : an Approximate F-test," Swedish University of Agricultural Sciences, 2005.
  13. Sherwin, E. R., "Analysis of One-Shot Devices," Selected Topics in Assurance Related Technologies, Reliability Analysis Center(RAC), Vol. 7, #4.