• Journal of the Korean Society of Safety
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• v.27 no.3
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• pp.111-116
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• 2012

This study is about the quantitative safety assessment of hydrogen station in Korea operating with on-site type. This was written by background information that before qualitative safety assessment to write. For the qualitative safety assessment method, the study used FMEA(failure mode & effect analysis) and HAZOP(hazard & operability), and adopted the FTA(fault tree analysis) as the quantitative safety assessment method. To write the FTA, we wrote FT by Top event that hydrogen leakage can be called most serious accident of hydrogen station. Each base event collect reliability data by reliability data handbook, THERP-HRA and estimation of the engineering. Assessment looked at the high frequency and the possible risk through Gate, Importance, m.cutsets analysis.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.43 no.2
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• pp.179-188
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• 1994

This paper deals with implementation of an expert system to obtain an optimal plan of load transfer for fault restoration with the capability of security monitoring and assessment in distribution systems. Based on the technique of load transfer tree analysis, the proposed expert system can afford to assist system operators in proposing an optimal plan of load transfer for fault restoration, In paticular, an application of the proposed ES to practical distribution systems yields an optimal load transfer plan which ensures system security by considering security assessment for contingency of feeders and main transformers in the knowledge based sense.

• Proceedings of the KSR Conference
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• 2005.05a
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• pp.123-126
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• 2005

Recently many accidents have been occurred on track workers, these accidents have strong relationship with increase of train speed, electrification and multiple track portion. As a first step for the safety management, domestic and abroad track worker accidents data are analysed for the risk estimation of track worker. Analysis results shows that contact between track worker and train is the dormant reason. In order to reduce dormant reason fault trees are constructed in this study.

• Journal of Software Engineering Society
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• v.14 no.1
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• pp.4-18
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• 2001

폴트 트리 분석(Fault Tree Analysis)은 시스템의 안전성을 분석하는데 유용한 방법으로 쓰이고 있으나, 보통 수작업으로 이루어지며, 체계적인 구성 방법 없는 실정이어서 부정확할 수 있는 약점을 가진다. 이러한 약점을 보완하기 위해, 본 논문에서는 모델 체팅(Model Checking) 방법을 이용하여 폴트 트리를 좀 더 정확하게 보정하는 방법을 제안한다. 폴트 트리를 정확히 고치기 위해서, 먼저 폴트 트리의 노드에 대해서 공식을 만들고, 이 공식을 실시간 모델 체커 UPPAAL을 이용해 검증한다. 그리고 나서, 검증 결과를 분석하며, 이를 통해 얻어진 정보를 이용해 폴트 트리에 반영하게 된다.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 2002.05a
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• pp.339-345
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• 2002

FTA(Fault free Analysis)는 시스템 고장을 발생시키는 사상(event)과 그의 원인과의 인과관계를 논리기호(AND 와 OR)를 사용하여 나뭇가지 모양의 그림으로 나타낸 고장수목(Fault Tree)을 만들고, 이에 의거하여 시스템의 고장확률을 구함으로써 문제가 되는 부분을 찾아내어 시스템의 신뢰성을 개선하는 정량적 고장해석 및 신뢰성 평가 방법이다.(중략)

• Nuclear Engineering and Technology
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• v.40 no.5
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• pp.365-374
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• 2008

Dependability-critical systems, such as digital instrumentation and control systems in nuclear power plants, necessitate engineering techniques and tools to provide assurances of their safety and reliability. Determining system reliability at the architectural design phase is important since it may guide design decisions and provide crucial information for trade-off analysis and estimating system cost. Despite this, reliability and system engineering remain separate disciplines and engineering processes by which the dependability analysis results may not represent the designed system. In this article we provide an overview and application of our approach to build architecture-based, dynamic system models for dependability-critical systems and then automatically generate dynamic fault trees (DFT) for comprehensive, tool-supported reliability analysis. Specifically, we use the Architectural Analysis and Design Language (AADL) to model the structural, behavioral and failure aspects of the system in a composite architecture model. From the AADL model, we seek to derive the DFT(s) and use Galileo's automated reliability analyses to estimate system reliability. This approach alleviates the dependability engineering - systems engineering knowledge expertise gap, integrates the dependability and system engineering design and development processes and enables a more formal, automated and consistent DFT construction. We illustrate this work using an example based on a dynamic digital feed-water control system for a nuclear reactor.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 2000.11a
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• pp.390-395
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• 2000

화학공정에서 발생하는 사고의 주요 원인으로는 조업자의 실수, 장치고장, 안전장치의 미비, 운전조건의 이상을 들 수 있다. 화학공정의 위험 분석은 HAZOP, FTA, ETA, 및 CA 등이 산업계에서 가장 유용하고 폭넓게 사용되고 있는 분석 방법이다. 이들 위험분석 기법 중에서 FTA(Fault Tree Analysis)는 사고의 세부적인 원인목록을 작성하여 해당사고의 구조를 파악할 수 있으며 복잡한 시스템내의 결함을 최소시간과 최소비용으로 효과적으로 예방할 수 있게 하는 정량적 위험성 평가 방법이다. 일반적으로 이 방법들은 전문가 집단에 의해 수행되기 때문에 전문가 집단의 능력과 투여되는 시간에 많이 비례하여 왔던 것이 사실이다. 이러한 이유로 인하여 위험분석방법의 자동화가 절실히 대두되고 있는 실정이다.(중략)

• Journal of Korean Society for Quality Management
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• v.20 no.2
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• pp.44-54
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• 1992

In conventional fault-tree analysis, the failure probabilities of components of a system are treated as exact values in estimating the failure probability of the top event. For the plant layout and systems of the products, however, it is often difficult to evaluate the failure probabilities of components from past occurences, because the environments of the systems change. Furthermore, it might be necessary to consider possible failure of components of the systems even if they have never failed before. In the paper, instead of the probability of failure, we propose the possibility of failure, viz, a fuzzy set defined in probability space. Thus, in this paper based on a fuzzy fault-tree model, the maximum possibility of system failure is determined from the possibility of failure of each component within the system according to the extension principle.

• Journal of Electrical Engineering and Technology
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• v.9 no.3
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• pp.1043-1050
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• 2014

Obsolescent control systems for power systems are evolving into intelligent systems and connecting with smart devices to give intelligence to the power systems. As networks of the control system are growing, vulnerability is also increasing. The communication network of distribution areas in the power system connects closely to vulnerable environments. Many cyber-attacks have been founded in the power system, and they could be more critical as the power system becomes more intelligent. From these environment, new communication network architecture and mitigation method against cyber-attacks are needed. Availability and Fault Tree analysis used to show that the proposed system enhances performance of current control systems.

• Journal of Advanced Marine Engineering and Technology
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• v.36 no.5
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• pp.662-673
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• 2012

This study introduces a condition diagnosis technique for a turbine governor system. The governor system is an important control system to handle turbine speed in a nuclear power plant. The turbine governor system includes turbine valves and stop valves which have their own functions in the system. Because a turbine governor system is operated by high oil pressure, it is very difficult to maintain under stable operating conditions. Turbine valves supply oil pressure to the governor system for proper operation. Using the pressure variation of turbine and governor valves, operating conditions of the turbine governor control system are detected and identified. To achieve automatic detection of valve status, time-based and frequency-based analysis is employed. In this study, a new approach, wavelet decomposition, was used to extract specific features from the pressure signals of the governor and stop valves. The extracted features, which represent the operating conditions of the turbine governor system, include important information to control and diagnose the valves. After extracting the specific features, decision rules were used to classify the valve conditions. The rules were generated by a decision tree algorithm (a typical simple method for data-based rule generation). The results given by the wavelet-based analysis were compared to detection results using time- and frequency-based approaches. Compared with the several related studies, the wavelet transform-based analysis, the proposed in this study has the advantage of easier application without auxiliary features.