• Convergence Security Journal
• /
• v.8 no.3
• /
• pp.33-39
• /
• 2008

Software failure time presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing. For data analysis of software reliability model, data scale tools of trend analysis are developed. The methods of trend analysis are arithmetic mean test and Laplace trend test. Trend analysis only offer information of outline content. In this paper, we discuss exponentially weighted moving average chart, in measuring failure time. In control, exponentially weighted moving average chart's uses are efficiency case of analysis with knowing information, Using real software failure time, we are proposed to use exponentially weighted moving average chart and comparative analysis of software failure time.

• Proceedings of the KIEE Conference
• /
• 2005.04a
• /
• pp.108-110
• /
• 2005

배전용 변압기의 경우 고장 발생시 직접적인 수용가 측에 피해가 발생되며, 변압기 폭발시 인명 피해까지 우려되고 있다. 변압기 내부 고장으로 절연유가 분출될 경우가 가장 심각한 고장으로 이러한 피해를 방지하기 위해서는 내부 고장에 대한 정확한 해석이 필요하다. 본 연구에서 변압기 권선내에서 발생되는 고장을 유한요소 전자계해석 프로그램(FLUX2D)을 이용하여 해석하였다. 50kVA, 13200/230(V) 단강 변압기의 권선고장시 전자계해석, 1차측 권선고장(turn-to-earth)과 2차측 권선고장(turn-to-turn)을 모의하여 해석하였다. 또한, 권선 내부 고장 및 2차측 단락시 누설자속분포, 1차 및 2차측 고장전류, 권선간의 힘의분포 등을 해석하였다. 분석결과는 변압기의 절연설계 및 단락기계력에 대한 프레임 구조 설계를 위한 자료로 활용된다.

• Convergence Security Journal
• /
• v.7 no.2
• /
• pp.49-55
• /
• 2007

Software failure time presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing. For data analysis of software reliability model, data scale tools of trend analysis are developed. The methods of trend analysis are arithmetic mean test and Laplace trend test. Trend analysis only offer information of outline content. From the subdivision of this analysis, new attemp needs the side of the quality control. In this paper, we discuss process capability analysis using process capability indexs. Because of software failure interval time is pattern of nonnegative value, instead of capability analysis of suppose to normal distribution, capability analysis of process distribution using to Box-Cox transformation is attermpted. The used software failure time data for capability analysis of process is SS3, the result of analysis listed on this chapter 4 and 5. The practical use is presented.

• Journal of the Korea Society of Computer and Information
• /
• v.11 no.5 s.43
• /
• pp.9-18
• /
• 2006

Finite failure NHPP models presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates per fault. In this paper, Goel-Okumoto and Yamada-Ohba-Osaki model was reviewed, proposes the exponentiated exponential distribution reliability model, which maked out efficiency substituted for gamma and Weibull model(2 parameter shape illustrated by Gupta and Kundu(2001) Algorithm to estimate the parameters used to maximum likelihood estimator and bisection method, model selection based on SSE, AIC statistics and Kolmogorov distance, for the sake of efficient model, was employed. Analysis of failure using NTDS data set for the sake of proposing shape parameter of the exponentiated exponential distribution was employed. This analysis of failure data compared with the exponentiated exponential distribution model and the existing model (using arithmetic and Laplace trend tests, bias tests) is presented.

• Journal of the Korean Society for Railway
• /
• v.16 no.3
• /
• pp.196-201
• /
• 2013

As there is no failure data for the entire lifecycle of a product, when analyzing reliability measures based on early failure data only, there may be a significant error between the estimated mean life and the real one, because it can be underestimated, or on the other hand, it can be overestimated when analyzing reliability measures based on a large amount of censored data with the failure data. To resolve the issue, this study proposes an optimal sampling estimation procedure that selects the proportion of censored data to estimate the optimal distribution with the idea that the estimated distribution could be approximated as closely as the real life distribution. This would work if we sampled the optimal proportion on the censored data, because failure data has real intrinsic distribution in any situation. We validate the proposed procedure using an actual example. If the proposed method is applied to the maintenance policy of TWC (Train to Wayside Communication) system, then we can establish the optimal maintenance policy. Thus, we expect that it will be effective for improvement of reliability and cost savings.

• Proceedings of the KIEE Conference
• /
• 2005.07b
• /
• pp.984-986
• /
• 2005

변압기 권선내에서 발생되는 고장을 유한요소 전자계해석 프로그램(FLUX2D)을 이용하여 해석하였다. 50kVA, 13200/230(V) 단상 변압기의 권선간 고장시 전자계해석을 1차측 권선고장(turn-to-earth)과 2차측 권선고장(turn-to-turn)을 모의하여 해석하였다. 권선내부 고장 및 2차측 단락시 누설 자속분포, 권선간의 힘의 분포, 변압기 내부 권선의 정상시와 단락시의 전자계비교, 단락권선과 권선 상호간의 전자계 해석을 통하여 변압기에 미치는 영향을 해석하였다. 변압기 권선간 단락시의 전자력 분석결과는 변압기의 절연설계 및 단락기계력에 대한 프레임 구조 설계를 위한 자료로 활용될 수 있다.

• The Transactions of the Korea Information Processing Society
• /
• v.4 no.2
• /
• pp.395-400
• /
• 1997

An important quality characteristic of a software reliability.Software reliablilty growh models prvied the tools to evluate and moniter the reliabolty growth behavior of the sofwate during the testing phase Therefore failure data collected during the testing phase should be continmuosly analyzed on the basis of some selected software reliability growth models.For the cases where nonhomogeneous Poisson proxess models are the candiate models,we suggest Poisson regression model, which expresses the relationship between the expeted and actual failures counts in disjonint time intervals,for analyzing the failure count data.The weighted lest squares method is then used to-estimate the paramethers in the parameters in the model:The resulting estimators are equivalent to the maximum likelihood estimators. The method is illustrated by analyzing the failutr count data gathered from a large- scale switchong system.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.11 no.12
• /
• pp.2311-2318
• /
• 2007

Finite failure NHPP models presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates per fault. Accurate predictions of software release times, and estimation of the reliability and availability of a software product require Release times of a critical element of the software testing process : test coverage. This model called Enhanced non-homogeneous Poission process(ENHPP). In this paper, exponential coverage and S-shaped model was reviewed, proposes the Kappa coverage model, which make out efficiency application for software reliability. Algorithm to estimate the parameters used to maximum likelihood estimator and bisection method, model selection based on SSE statistics and Kolmogorov distance, for the sake of efficient model, was employed. Numerical examples using real data set for the sake of proposing Kappa coverage model was employed. This analysis of failure data compared with the Kappaa coverage model and the existing model(using arithmetic and Laplace trend tests, bias tests) is presented.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2000.04a
• /
• pp.465-468
• /
• 2000

본 논문에서는 고장 데이터가 극히 적은 상황에서도 다수의 동일부품이 사용되는 경우에는 중단자료를 활용하여 최우추정법으로 고장수명분포를 추정할 수 있음을 입증한다. 부품의 수명분포로 와이블분포를 사용하며 모수의 최우추정치를 구하는 비교적 단순한 방법을 제시한다. 또한, 향후 주어진 기간동안 필요로 하는 적정 예비품수를 결정하는 확률적 방안을 제안한다 그리고 이와같은 방법을 포항방사광가속기의 주요부품인 광자막이와 수냉플랜지에 적용한 사례를 소개한다.

• Proceedings of the Korean Information Science Society Conference
• /
• 2003.10c
• /
• pp.697-699
• /
• 2003

본 논문은 스트리밍 환경에서 서버의 고장을 빠르게 탐지하기 위해 동적임계점을 사용하고 이에 대한 성능을 분석한다. 제안된 기법은 스트리밍의 특성을 이용하여 질의 전송 시간을 결정하게 되는데 서버의 패킷도착 지연으로 인해 발생되는 질의 전송 시간의 증가를 최소화시키기 위해 패킷 지연도착 시간을 반영하지 않는 알고리즘을 적용하였다. 고장탐지에 대한 성능분석을 위해 스트리밍의 종류에 따라 질의 전송 시간이 다양하게 적용될 수 있기 때문에 다양한 스트리밍 자료를 활용하여 실험하였으며 제안된 기법의 성능을 검증하였다.