| Comparison of Storage Lifetimes by Variance Assumption using Accelerated Degradation Test Data |
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Jonggyu Kim, Seungjun Back, Youngkap Son, Sanghyun Park, Moonho Lee, Insik Kang |
1Department of Mechanical and Automotive Engineering, Andong National University
2Center for reliability education and research, Andong National University
3The 4th Research and Development Institute, Agency for Defense Development |
| 파괴적 가속열화시험 데이터의 분산가정에 따른 수명비교 |
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김종규, 백승준, 손영갑, 박상현, 이문호, 강인식 |
1국립 안동대학교 기계자동차공학과
2국립 안동대학교 신뢰성교육연구센터
3국방과학연구소 제4기술연구본부 |
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| Abstract |
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Estimating reliability of a non-repairable system using the degradation data, variance assumption such as homogeneity (constant) or heteroscedasticity (time-variant) could affect accuracy of reliability estimation. This paper showed reliability estimation and comparison results under normal conditions using accelerated degradation data obtained from destructive measurements, according to variance assumption of the data at each measurement time. Degradation data from three accelerated conditions with stress factors of temperature and humidity were used to estimate reliability. The $B_{10}$ lifetime was estimated as 1243.8 years by constant variance assumption, and 18.9 years by time-variant variance. And variance assumption provided different analysis results of important stresses to reliability. Thus, accurate assumption of variance at each measurement time is required when estimating reliability using degradation data of a non-repairable system. |
| Key Words:
Accelerated Degradation Test, Degradation Data, Storage Life, Constant/Time-variant Variance |
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