• 한국안전학회지
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• 제21권1호
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• pp.6-14
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• 2006

The development of automatic production systems have required intelligent diagnostic and monitoring functions to overcome system failure and reduce production loss by the failure. In order to perform accurate operations of the intelligent system, implication about total system failure and fault analysis due to each mechanical component failures are required. Also solutions for repair and maintenance can be suggested from these analysis results. As an essential component of a mechanical system, a bearing system is investigated to define the failure behavior. The bearing failure is caused by lubricant system failure, metallurgical deficiency, mechanical condition(vibration, overloading, misalignment) and environmental effects. This study described slab transfer equipment fault train due to stress variation and metallurgical deficiency from lubricant failure by using FTA.

• 대한안전경영과학회지
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• 제3권2호
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• pp.113-121
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• 2001

Today, facilities are composed of many complex components or parts. Because of this characteristics, the frequency of failures is decreasing, but the strength of failures is increasing; therefore, the failure analysis about many complex components or parts was needed. In the former research about Fault Tree Analysis, failure data of similar facilities have been used for forecasting about target system or components, but in case that the system or components for forecasting failure is new or qualitative and quantitative data are given simultaneously, there are many difficulty in using Fault Tree Analysis with this incorrect failure data. Therefore, this paper deal with the Fault Tree Analysis method which be applied with Fuzzy theory in above case. In case that , therefore, if there is no the correct failure data, it is represented a system or components as qualitative variable. subsequently, it converted to the quantitative value using fuzzy theory, and the values used as the value for failure forecast.

• 대한전기학회논문지:전기기기및에너지변환시스템부문B
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• 제54권7호
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• pp.309-316
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• 2005

In this paper we analyzed a dangerous failure and a safety requirement based on HIA (Hazard Identification and Analysis) of an interface model between CTC (Centralized Traffic Control) system and El (Interlocking) system, and assigned SU (Safety Integrity Level) by way of an risk estimation of the interface, which employed PHA (Preliminary Hazard Analysis) for the interface of the track control system, being managed as separated system between the centralized traffic control system and the interlocking system, An estimation which satisfies a safety reference of the international standard has been achieved through a quantification of the system failure rate and the dangerous failure rate of the interface model.

• Journal of Electrical Engineering and Technology
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• 제2권3호
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• pp.386-390
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• 2007

At recent times, an essential issue in the replacement of the old analogue I&C to computer-based digital systems in nuclear power plants becomes the quantitative software reliability assessment. Software reliability models have been successfully applied to many industrial applications, but have the unfortunate drawback of requiring data from which one can formulate a model. Software that is developed for safety critical applications is frequently unable to produce such data for at least two reasons. First, the software is frequently one-of-a-kind, and second, it rarely fails. Safety critical software is normally expected to pass every unit test producing precious little failure data. The basic premise of the rare events approach is that well-tested software does not fail under normal routine and input signals, which means that failures must be triggered by unusual input data and computer states. The failure data found under the reasonable testing cases and testing time for these conditions should be considered for the quantitative reliability assessment. We presented the quantitative reliability assessment methodology of safety critical software for rare failure cases in this paper.

• 한국신뢰성학회지:신뢰성응용연구
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• 제16권2호
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• pp.125-133
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• 2016

Purpose: The purpose of this study is to evaluate durability of platform safety step system in railway. Method: We performed finite element analysis & durability analysis of platform safety step system with VPD (Virtual Product Development) techniques and examined the durability standard & qualification life through the rig test during no failure test time in reliability qualification test. We continued to test 1 million cycles in KRS (Korea Railway Standard) for system's robust design performance. Result: FEM analysis results are 14.9MPa & 14.7MPa of pin-joint, pivot and durability analysis result is above 1 million cycles. we calculated theoretically no failure test time 855,000 cycles and through the 1 million cycles durability rig test in KRS standard we confirmed product quality. Conclusion: This platform safety step system was designed very safe in terms of a mechanical strength & durability.

• 한국안전학회지
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• 제29권3호
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• pp.136-142
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• 2014

Recently a new version of PRO-LOCA program was released. Using the program, failure probability of pipes can be evaluated considering fatigue and/or stress corrosion crack growth and the effects of various parameters on the integrity of pipes in nuclear power plants can be evaluated quantitatively. The analysis results can be used to establish an inspection plan and to examine the effects of important parameters in a maintenance plan. In this study, sensitivity analyses were performed using the program for several important parameters including sampling method, initial crack size, number of initial fabrication flaws, operation temperature, inspection interval, operation temperature and nominal applied bending stress. The effect of parameters on the leak and rupture probability of pipes was evaluated due to fatigue or stress corrosion crack growth.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2008년도 추계학술대회 논문집
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• pp.789-795
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• 2008

Slope stability is affected by various factors. For safety management of slopes, monitoring systems have been widely constructed along railway lines. The representative data from the systems are variations of ground profile such like ground water level and pore water pressure etc. and direct displacement measured by ground clinometer and tension wire sensor. Slopes are mainly effected by rainfall and rainfall causes the decrease of factor of safety(FOS). Because FOS varies linearly by the variation of ground water level and pore pressure, it has a weak point that could not define the time and proper warning sign to secure the safety of the train. In this study, alternative of FOS such as reliability index and probability of failure is applied to slope stability analysis introducing the reliability concept. FOS, reliability index, probability of failure and velocity of probability of failure of the slopes by variation of ground water level are investigated for setting up the specification of safety management of slopes. By executing case study of a slope(ILLO-IMSUNGLI), it is showed to be applied to specification of safety management.

• 한국산학기술학회논문지
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• 제19권11호
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• pp.574-582
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• 2018

철도, 자동차, 항공 등의 시스템에서는 시스템의 고장이 사고로 이어져 심각한 인명피해와 경제적 손실로 직결되는 경우가 많기 때문에 시스템 안전의 확보가 매우 중요하다. 기존 연구들에서는 구성품 수준의 정보를 활용해서 고장 분석 및 안전조치를 도출하고 이를 통해 고장이 발생했을 때 피해를 경감시키기 위한 안전설계가 주로 수행되었다. 그러나 기능안전 개념에 의한 설계는 위험원 식별 및 평가 그리고 안전기능을 생성한 후 안전 설계를 통해 안전 목표를 달성하고자 하는 것이다. 따라서 시스템의 기능수준에서 고장의 현재 빈도를 수용 가능한 목표수준으로 빈도를 낮출 수 있는 안전기능을 결정하고 이를 설계에 반영하기 위한 방법에 대한 연구가 필요하다. 이를 달성하기 위하여 본 연구에서는 먼저 시스템모델링 언어인 SysML을 활용하여 안전기능 들에 대해 고장빈도를 반영하기 위한 고장 모델링 방법을 연구하였다. 그리고 나서 생성된 SysML 고장모델 대안들의 시뮬레이션을 통해 각 안전기능 들이 달성할 수 있는 고장빈도의 감축능력을 평가해서 안전목표를 충족하는 대안을 결정하는 방법을 제시하였다. 사례 연구로서 대표적인 안전중시 시스템인 철도신호시스템에 적용하여 유용성을 확인하였다. 철도신호시스템의 안전기능 형태의 설계 대안들에 대해 안전 목표를 충족하는 지를 M&S를 통해 비교평가 하였다. 본 연구의 결과는 시스템의 개념설계 단계에서부터 적용 가능한 방법으로 안전기능을 수행하기 위한 다양한 설계대안 들 중에서 적절한 것을 선택함으로써 안전 목표를 충족하는 시스템의 안전 설계에 유용하게 활용될 수 있을 것이다.

• Geomechanics and Engineering
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• 제23권1호
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• pp.51-59
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• 2020

In this paper, the WEKA platform was used to mine and analyze measured data of floor failure depth and a prediction system of floor failure depth was developed with Java. Based on the standardization and discretization of 35-set measured data of floor failure depth in China, the grey correlation degree analysis on five factors affecting the floor failure depth was carried out. The correlation order from big to small is: mining depth, working face length, floor failure resistance, mining thickness, dip angle of coal seams. Naive Bayes model, neural network model and decision tree model were used for learning and training, and the accuracy of the confusion matrix, detailed accuracy and node error rate were analyzed. Finally, artificial neural network was concluded to be the optimal model. Based on Java language, a prediction system of floor failure depth was developed. With the easy operation in the system, the prediction from measured data and error analyses were performed for nine sets of data. The results show that the WEKA prediction formula has the smallest relative error and the best prediction effect. Besides, the applicability of WEKA prediction formula was analyzed. The results show that WEKA prediction has a better applicability under the coal seam mining depth of 110 m~550 m, dip angle of coal seams of 0°~15° and working face length of 30 m~135 m.

• 터널과지하공간
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• 제31권5호
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• pp.360-373
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• 2021

지반공학 분석에는 재료정수의 샘플링 및 실험기술에 이르기까지 많은 불확실성의 원인이 존재한다. 암반사면의 평면파괴에 대한 기존의 결정론적 안정성 분석은 안전율은 계산하지만, 파괴확률이나 신뢰지수를 고려하지 않는다. 기존의 사면안정해석에서는 지반의 불확실성을 전체적 안전율로 평가하여 현실적인 암반사면의 안정성을 자세히 평가하기가 힘들다. 본 논문에서는 암석사면의 평면파괴에 적용되는 MCS, FOSM, PEM, Taylor Series와 같은 기존의 확률론적 분석기법을 자세히 검토한다. 몬테카를로 방법(MCS)은 가장 정확한 확률론적 안전율을 계산한다. 그러나 이 방법은 시간이 많이 걸리는 문제가 발생되므로 간이 확률론적 방법은 MCS에 대한 대안이 될 수 있다. 이 연구에서는 간이 확률론적 방법을 사용하여 암반사면의 평면파괴에 대한 확률분석을 제시하였다.