Browse > Article

A Research of the Reliability Analysis and Application Method Based on Non-parametric Statistics Using Field Data  

Na, Il-Yong (DTaQ)
Publication Information
Journal of the Korea Institute of Military Science and Technology / v.13, no.4, 2010 , pp. 594-600 More about this Journal
Abstract
In this paper, we introduced non-parametric statisticals method that could analyse the field data and proposed application ways such as repair-part demand forcasting, MTBF estimation and trend analysis, identity comparison with two populations using the analytical results. In addition, we applied that to real field data which has been collected for about ten years from K series tracked vehicle. After that, we compared the results with those using traditional parametric statistical method, and verified the usability of them.
Keywords
Field Data; Non-parametric Statistics; Repair-Part Demand Forcasting; Trend Analysis;
Citations & Related Records
연도 인용수 순위
  • Reference
1 나일용 외 4인, "야전 운용자료를 이용한 수리부속 수요예측기법 연구", 국방기술품질원, DTaQ-09-1866-R, 2009.
2 Wayne B. Nelson, "Recurrent Events Data Analysis for Product Repairs, Disease Recurrences, and Other Applications", ASA-SIAM, 2003.
3 "KAAV SDC/FRACAS Training Material", BAE Systems, 2009.
4 David Trindade, Swami Nathan, "Availability and Cost Monitoring in Datacenters Using Mean Cumulative Functions", Joint Statistical Meetings, Salt Lake City, 2007.
5 "Life Data Analysis Reference", ReliaSoft Publishing, 2000.
6 "Reliability Growth & Repairable System Analysis Reference", ReliaSoft Publishing, 2009.
7 Gerald G. Brown, Herbert C. Rutemiller, "Evaluation of Pr {x$\geq$y} When Both X and Y are from Three-Parameter Weibull Distributions", IEEE Trans. on Reliability, Vol. R22, No. 2, 1973.
8 "K9 ILS 최신화 : RAM-D 분석 보고서", 육군본부, 2003.
9 "K1전차 RAM-D 분석/평가", 현대정공 주식회사, 1995.
10 한봉윤, 김세현, 김성의, "야전운용자료 수집/분석 체계 구축 발전방안", 국방품질관리소, 2005.