• Proceedings of the Korean Reliability Society Conference
• /
• 2006.05a
• /
• pp.208-217
• /
• 2006

• Proceedings of the Korean Reliability Society Conference
• /
• 2006.05a
• /
• pp.309-321
• /
• 2006

• Proceedings of the Korean Reliability Society Conference
• /
• 2006.05a
• /
• pp.380-380
• /
• 2006

• Proceedings of the Korean Reliability Society Conference
• /
• 2005.06a
• /
• pp.225-247
• /
• 2005

• Proceedings of the Korean Reliability Society Conference
• /
• 2001.06a
• /
• pp.225-226
• /
• 2001

신뢰성 인증품목의 신뢰성 저하로 발생하는 물적 피해를 배상하는 신뢰성보험제도에 대하여 제도적 근거를 검토하고 기본적인 형태의 상품개발을 하였다. 본 연구에서 언급한 전제조건이나 산출기초는 운영주체 또는 운영방침 등에 따라 영향을 받을 수 있으므로 현실적으로 활용하려면 정책변수 등 세부적인 사항이 선결되어야할 것이다.

• Journal of the Society of Naval Architects of Korea
• /
• v.33 no.2
• /
• pp.96-110
• /
• 1996

Aging ships can suffer structural damage due to corrosion, fatigue crack etc., and possibility of catastrophic failure of seriously damaged ships is very high. To reduce the risk of loss of ships due to hull collapse, it is essential to evaluate ultimate hull strength of aging ships taking into account various uncertainties associated with structural damages. In this paper, ultimate strength-based reliability analysis of ship structures considering wear of structural members due to corrosion is described. A corrosion rate estimate model for structural members is introduced. An ultimate limit state function of a ship hull is formulated taking into account corrosion effects. The model is applied to an existing oil tanker, and reliability index associated with hull collapse is calculated by using the second-order reliability method (SORM). Discussions on structure safety of corroded ships are made.

• Proceedings of the Korean Reliability Society Conference
• /
• 2001.06a
• /
• pp.363.1-363
• /
• 2001

• Journal of the Korean Society for Aeronautical & Space Sciences
• /
• v.33 no.3
• /
• pp.18-25
• /
• 2005

Existing methods have performed the reliability analysis using nonlinear optimization techniques. This is mainly due to the fact that they directly apply Multidisciplinary Design Optimization(MDO) frameworks to the reliability analysis formulation. Accordingly, the reliability analysis and the Multidisciplinary Analysis(MDA) are tightly coupled in a single optimizer, which hampers utilizing the recursive and function-approximation based reliability analysis methods such as the Advanced First Order Reliability Method(AFORM). In order to utilize the efficient reliability analysis method under multidisciplinary analysis systems, we propose a new strategy named Sequential Approach on Reliability Analysis under Multidisciplinary analysis systems(SARAM). In this approach, the reliability analysis and the MDA are decomposed and arranged in a sequential manner, making a recursive loop. The efficiency of the SARAM method was verified using three illustrative examples taken from the literatures. Compared with existing methods, it showed the least number of subsystem analyses over other methods while maintaining accuracy.

• Proceedings of the Korean Reliability Society Conference
• /
• 2000.04a
• /
• pp.247-253
• /
• 2000

본 논문은 정보 여분(Information Redundancy)에서의 에러 검출 코딩(Error Detect Coding) 기법을 이용하여 3-out-of-6 자체 검사기를 설계하고, 주기적인 코드(Frequency Coding) 주입을 통해 고장-안전 제어 논리를 모델링 했다. 고장-안전 제어 논리 모듈과 TMR(Triple Modular Redundancy)의 단일 모듈간에 대해서 신뢰성 병렬 수치 해석을 수행하였고, 이때 고장-안전 제어 논리가 기존의 하드웨어 여분 기법보다 시스템 소모비용과 기능적 오버헤드가 감소되어 기능신뢰성이 증가되는 결과를 얻었다.

• Journal of the Korea Convergence Society
• /
• v.10 no.4
• /
• pp.45-50
• /
• 2019

This study proposes a method to measure software reliability according to software reliability measurement model to measure software reliability. The model presented in this study uses the distribution of Non - Homogeneous Poisson Process and presents a measure of the software reliability of the presented model. As a method to select a suitable software reliability growth model according to the presented model, we have studied a method of proposing an appropriate software reliability function by calculating the mean square error according to the estimated value of the reliability function according to the software failure data. In this study, we propose a reliability function to measure the software quality and suggest a method to select the software reliability function from the viewpoint of minimizing the error of the estimation value by applying the failure data.