Session Track
November 02 (Thursday)
일반기계 및 부품 신뢰성(IV)
Oral,
제9발표장(303A호),
13:00~14:00
- 한창운(한국뉴욕주립대)
Th09D-5
13:00~14:00
열화 데이터의 분산가정에 따른 신뢰도 추정 결과 비교
Estimating reliability of a non-repairable system using the degradation data, constant or time-variant variance assumption could affect results of reliability estimation. This paper showed reliability estimation and comparison results under normal conditions using accelerated degradation data , 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 B10 lifetime was estimated as 1243.8 years for constant variance assumption, and 18.9 years for time-variant variance. In additionally, variance assumption provided different important analysis results of 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.
Keywords : Accelerated Degradation Test(가속열화시험), Degradation Data(열화데이터), Storage Life(저장수명), Constant/Time-variant Variance(등분산/이분산)
Paper : Th09D-5.pdf
(사)대한기계학회, 서울시 강남구 테헤란로 7길 22 한국과학기술회관 신관 702호, Tel: (02)501-3646~3648, E-mail: ksme@ksme.or.kr