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강건 실험계획법을 이용한 열화자료의 분석

Analysis of Degradation Data Using Robust Experimental Design

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참고문헌

주제분류학제간연구

초록

Abstract

The reliability of the product can be improved by making the product less sensitive to noises. Especially, it is important to make products robust against various noise factors encountered in production and field environments.In this paper, the phenomenon of degradation assumes a simple random coefficient degradation model to present analysis procedures of degradation data for robust experimental design. To alleviate weak points of previous studies, such as Taguchi's, Wasserman's, and pseudo failure time methods, novel techniques for analysis of degradation data using the cross array that regards amount of degradation as a dynamic characteristic for time are proposed. Analysis approach for degradation data using robust experimental design are classified by assumptions on parametric or nonparametric degradation rate(or slope). Also, a simulation study demonstrates the superiority of proposed methods over some previous works.

참고문헌 (10)

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  2. 서순근, "단순 확률계수 열화모형하에서 수명시험과 열화시험의 비교연구", 대한설비관리학회지, 07(2), pp.5~ (2002), 대한설비관리학회
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  7. Lu,C. J, "Using Degradation Measures to Estimate a Time-to-Failure Distribution", 35(2), pp.161~174 (1993)
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  9. Tseng,S. T, "Using Degradation Data to Improve Fluorescent Lamp Reliability", 27, pp.363~369 (1995)
  10. Wasserman,G. S, "A Modeling Framework for Relating Robustness Measures with Reliability", 8, pp.681~692 (1996)

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