Research

Reliability Prediction and Assessment

In the safety critical systems for high reliability, large number of tests are required which is usually impractical for cost and time. To avoid this, fault tree analyses are performed using the failure database handbook, which are however less useful for new development. Simulations of the physical model are also employed but they are inaccurate due to the many uncertainties. To overcome this problem, recent trend is to evaluate the reliability by quantifying the uncertainties in the physical model, which is validated or calibrated by the tests. The system reliability is then obtained by building block integration of simulation and tests. Numerous probabilistic techniques are employed to perform the test and evaluation more efficiently. Application examples can be found in the reliability prediction of rocket system and pyrotechnic actuation devices.

신뢰성 예측 및 설계 (Reliability Prediction & Assessment)

제품의 신뢰성을 시험하려면 많은 비용과 함께 수개월~수년이 소요되므로, 이를 최소화하기 위해 컴퓨터로 신뢰도를 예측하는 해석기술을 많이 활용하고 있으나 여러가지 불확실성 때문에 잘 맞지 않습니다. 본 연구실에서는 이러한 불확실성을 해석에 적용하여 해석모델이 실제와 얼마나 틀린 지를 검증하고, 이것을 바탕으로 시스템 신뢰도를 정확하게 예측하는 기술을 연구하고 있습니다. 본 기술은 항공우주(로켓 신뢰성설계), 국방(점화기 신뢰도예측), 자동차(베어링 수명해석, 브레이크 스퀼해석)에 적용되었습니다.

(10540) School of Aerospace & Mechanical Engineering, Korea Aerospace University 76, Hwajon-dong, Deogyang-gu, Goyang-city, Gyeonggi-do, 10540, Korea

(10540) 경기도 고양시 항공대학로76 한국항공대학교 기계관 403호

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