• 산업경영시스템학회지
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• 제18권34호
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• pp.139-146
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• 1995

This study is concerned with cost analysis in periodic maintenance policy. Generally periodic maintenance policy in which item is repaired periodic interval times. And in the article minimal repair is considered. Minimal repair means that if a unit fails, unit is instantaneously restored to same hazard rate curve as before failure. In the paper periodic maintenance policy with minimal repair is as follows; Operating unit is periodically replaced in periodic maintenance time, if a failure occurs between minimal repair and periodic maintenance time, unit is replaced by a spate until the periodic time comes. Also unit undergoes minimal repair at failures in minimal-repair-for-failure interval. Then total expected cost per unit time is calculated according to maintenance period and scale parameter of failure distribution. Total cost factors ate included operating, fixed, minimal repair, periodic maintenance and replacement cost Numerical example is shown in which failure time of system has erlang distribution.

• Journal of the Korean Data and Information Science Society
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• 제24권4호
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• pp.931-940
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• 2013

For analysis of clustered survival data, the inferences of parameters in semi-parametric frailty models have been widely studied. It is also important to investigate the potential heterogeneity in event times among clusters (e.g. centers, patients). For purpose of this analysis, the interval estimation of frailty is useful. In this paper we propose a visualizing method to present confidence intervals of individual frailties across clusters using the frailtyHL R-package, which is implemented from h-likelihood methods for frailty models. The proposed method is demonstrated using two practical examples.

• 산업경영시스템학회지
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• 제18권36호
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• pp.287-295
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• 1995

This paper is concerned with cost analysis model in periodic maintenance policy. Generally periodic maintenance policy in which item is repaired periodic interval times. And in the article minimal repair is considered. Mimimal repair means that if a unit fails, unit is instantaneously restored to same hazard rate curve as before failure. In the paper periodic maintenance policy with minimal repair is as follows; Operating unit is periodically replaced in periodic maintenance time, if a failure occurs between minimal repair and periodic maintenance time, unit is replaced by a new item until tile periodic maintenance time comes. Also unit undergoes minimal repair at failures in minimal-repair-for-failure interval. Then total expected cost per unit time is calculated according to scale parameter of failure distribution. Maintenance cost factors are included operating, fixed, minimal repair, periodic maintenance and new item replacement cost. Numerical example is shown in which failure time of system has weibull distribution.

• International Journal of Reliability and Applications
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• 제5권2호
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• pp.59-74
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• 2004

There are many uncertain parameters associated with vibration components. Their physical parameters, the machining quality of vibration components, and the applied load acting on them are all uncertain. As a result, the natural frequency and the fatigue limits are also uncertain variables. In this paper, we express these parameters of vibration components and the frequency zone of resonance through interval models; this way, the robust reliability of the vibration components is defined. The robust reliability model measures and assesses the reliability of vibration components. The robust reliability of a cantilever beam is evaluated as an example. The results show that this method is reasonable for robust reliability analysis of vibration components because it does not require a large amount of failure data, it avoids the evaluation of the probability density function, and the computation is simple.

• Structural Engineering and Mechanics
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• 제46권4호
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• pp.447-458
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• 2013

Splitting tensile strength (STS) is a respectable mechanical property reflecting ability of the concrete. The STS of concrete is mainly related to compressive strength (CS), water/binder (W/B) ratio and concrete age. In this study, the assessment of STS is made by a novel uncertainty-oriented method which uses least square optimization and then predicts STS of concrete by uncertain (fuzzy) numbers. The approximation method addresses a novel integration of fuzzy set theory and multivariate statistics. The numerical examples showed that the method is applicable with relatively limited data. In addition, the prediction of uncertainty at various levels of possibility can be described. In conclusion, the uncertainty-oriented interval analysis can be suggested an effective tool for appraising the uncertainties in concrete technology.

• 지질공학
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• 제30권4호
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• pp.515-523
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• 2020

비탈면 설계 단계에서 안전율이 설계기준에서 제시하고 있는 안전율을 확보하지 못할 경우, 앵커를 시공하여 안전율을 확보하게 된다. 안정해석을 통해 앵커의 비탈면 보강 효과를 검증하고 있으나 이 과정에서 앵커 시공 간격은 대부분 등간격으로 가정하여 해석을 한다. 경제적이면서 효과적인 비탈면 보강을 위해 안정해석 대상 비탈면 내에서 앵커 시공 간격을 조정한 안정해석이 필요하다. 본 연구에서는 앵커 시공 간격이 비탈면의 안전율 변화에 미치는 영향을 파악하였다. 이를 위해 가상의 2소단 비탈면을 설정하고 앵커 시공 간격을 다르게 하여 안정해석을 수행하였다. 해석 결과, 비탈면의 상단면, 중단면, 하단면에 동일한 간격으로 앵커를 시공한 경우 보다 하단면 앵커 간격을 좁게하고 상단면, 중단면의 앵커 간격을 넓게 경우에 비탈면의 안정성을 확보하면서도 약 15%의 앵커 물량을 절감하는 결과가 나타났다. 이는 동일한 간격으로 앵커보강을 하기 보다는 비탈면 특성에 맞게 앵커 시공 간격을 다르게 하는 것이 경제적이면서 효과적인 보강효과가 있음을 의미한다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2006년도 춘계학술대회 논문집
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• pp.380-387
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• 2006

• 한국원자력학회:학술대회논문집
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• 한국원자력학회 2004년도 요약집 춘계학술발표대회
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• pp.158-158
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• 2004

• 대한전자공학회논문지TC
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• 제41권11호
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• pp.47-55
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• 2004

본 논문에서는 이동 통신망에서의 향상된 시간 기반의 위치 갱신 방법을 제안하고 제안된 방법의 성능을 분석하였다. 분석에서는 포아송 분포의 호 도착시간을 가정하였고, 지수분포의 셀 체류시간을 가정하였으며 분석결과로서는 제안된 방법에서의 최적의 갱신주기를 구하였다. 부가적으로 갱신주기의 값의 변화에 따른 비용의 특성을 관찰하고자 갱신주기의 값이 0 또는 무한대로 근접할 경우에 대하여 위치관리 비용을 분석하였다. 제안된 위치갱신방법과 기존에 제안된 오리지날 시간 기반의 위치갱신방법과의 비교를 위하여 오리지날 시간 기반의 위치갱신 방법에 대한 분석도 수행하였다. 두 방법에 대한 비교에서 제안된 방법이 주어진 환경에서 성능이 향상됨을 알 수 있었다.

• 한국기계가공학회지
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• 제12권4호
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• pp.87-92
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• 2013

In this study, we carried out the turning of plastic mold steel(STAVAX) with whisker reinforced ceramic tool(WA1) and analyzed ANOVA(Analysis of Variance) test. Multi-regression analysis was performed to find influential factors to surface roughness and to derive regression equation. Results are follows: From ANOVA test and confidence interval analysis of surface roughness, We found that influential factors to surface roughness was feed rate, cutting speed and depth of cut in order. From multi-regression analysis, we derived regression equation of STAVAX. it's coefficient of determination($R^2$) was 0.945 and It means that regression equation is significant. From experimental verification, we confirmed that surface roughness was predictable by regression equation. Compared with former research, we confirmed that increase of feed rate is the main cause of the growing of surface roughness and cutting force.