• Title/Summary/Keyword: fault tree method

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FAULT-TREE-BASED RISK ASSESSMENT FOR DYNAMIC CONDITION CHANGES

  • Kang, Hyun-Gook;Jang, Seung-Cheol
    • Nuclear Engineering and Technology
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    • v.39 no.2
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    • pp.123-128
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    • 2007
  • In order to apply a static fault-tree (FT) method to a system or a plant whose configuration changes dynamically, condition gates and a post processing method are used to effectively accommodate these changes. An operator's performance change, which can be caused by these configuration changes, should also be considered to assess the risk to a plant in a more realistic manner. This study aims to develop an integrated framework to accommodate various configuration changes and their effect on an operator’s performance by using the FT model. We applied a condition-based human reliability assessment (CBHRA) method to consider various conditions endured by an operator. That is, we integrated the CBHRA method with the conventional post processing method for modeling the system configuration changes. The effect of the condition monitoring systems installed in a plant is also considered. In this study, we show an example application of the integrated framework to a probabilistic safety assessment for the shutdown phase of a nuclear power plant.

Improvement of the Reliability Graph with General Gates to Analyze the Reliability of Dynamic Systems That Have Various Operation Modes

  • Shin, Seung Ki;No, Young Gyu;Seong, Poong Hyun
    • Nuclear Engineering and Technology
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    • v.48 no.2
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    • pp.386-403
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    • 2016
  • The safety of nuclear power plants is analyzed by a probabilistic risk assessment, and the fault tree analysis is the most widely used method for a risk assessment with the event tree analysis. One of the well-known disadvantages of the fault tree is that drawing a fault tree for a complex system is a very cumbersome task. Thus, several graphical modeling methods have been proposed for the convenient and intuitive modeling of complex systems. In this paper, the reliability graph with general gates (RGGG) method, one of the intuitive graphical modeling methods based on Bayesian networks, is improved for the reliability analyses of dynamic systems that have various operation modes with time. A reliability matrix is proposed and it is explained how to utilize the reliability matrix in the RGGG for various cases of operation mode changes. The proposed RGGG with a reliability matrix provides a convenient and intuitive modeling of various operation modes of complex systems, and can also be utilized with dynamic nodes that analyze the failure sequences of subcomponents. The combinatorial use of a reliability matrix with dynamic nodes is illustrated through an application to a shutdown cooling system in a nuclear power plant.

An Application of Decision Tree Method for Fault Diagnosis of Induction Motors

  • Tran, Van Tung;Yang, Bo-Suk;Oh, Myung-Suck
    • Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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    • 2006.11a
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    • pp.54-59
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    • 2006
  • Decision tree is one of the most effective and widely used methods for building classification model. Researchers from various disciplines such as statistics, machine learning, pattern recognition, and data mining have considered the decision tree method as an effective solution to their field problems. In this paper, an application of decision tree method to classify the faults of induction motors is proposed. The original data from experiment is dealt with feature calculation to get the useful information as attributes. These data are then assigned the classes which are based on our experience before becoming data inputs for decision tree. The total 9 classes are defined. An implementation of decision tree written in Matlab is used for these data.

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A Study Fuzzy model for Risk Analysis of Uncertainly FTA(Fault Tree Analysis) (FTA(Fault Tree Analysis)에서 불확실한 위험분석을 위한 퍼지모형 연구)

  • 임총규;박주식;강경식
    • Journal of the Korea Safety Management & Science
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    • v.4 no.1
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    • pp.37-47
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    • 2002
  • Risk analysis is a formal deductive procedure for determining combinations of component failures and human errors that could result in the occurrence of specified undesired events at the system level. This method can be used to analyze the vast majority of industrial system reliability problems. This study deals with the application of knowledge-engineering and a methodology for the assessment & measurement of reliability, availability, maintainability, and safety of industrial systems using FTA(fault tree analysis), A fuzzy methodology for fault-tree evaluation seems to be an alternative solution to overcome the drawbacks of the conventional approach (insufficient Information concerning the relative frequencies of hazard events). To improve the quality of results, the membership functions must be approximated based on heuristic considerations, The purpose of this study is to describe the knowledge engineering approach, directed to integrate the various sources of knowledge involved in a FTA.

Development of uncertainly failure information for FFTA (FFTA(Fuzzy Fault Tree Analysis)에 의한 불확실한 고장정보 연구)

  • 정영득;박주식;김건호;강경식
    • Journal of the Korea Safety Management & Science
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    • v.3 no.2
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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.

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Fault Tree Analysis and Fault Modes and Effect Analysis for Security Evaluation of IC Card Payment Systems (IC카드 지불결제 시스템의 보안성 평가를 위한 고장트리 분석(FTA)과 고장유형과 영향 분석(FMEA))

  • Kim, Myong-Hee;Jin, Eun-Ji;Park, Man-Gon
    • Journal of Korea Multimedia Society
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    • v.16 no.1
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    • pp.87-99
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    • 2013
  • The demands of IC card payment system has been increased according to the rapid advancement of the IT convergence application technologies. Recently IC card payment systems are in demands of the usage space at anytime and anywhere by developing the wireless communication technology and its related multimedia processing technology. Therefore the security of IC card payment system becomes more important and necessary. There are many fault analysis methods to evaluate the security and safety of information systems according to their characteristics and usages. However, the only assessment method to evaluate the security of information systems is not enough to analyse properly on account of the various types and characteristics of information systems by the progress of IT convergence and their applications. Therefore, this paper proposes an integrative method of the Fault Tree Analysis (FTA) and Fault Modes and Effect Analysis/Criticality (FMEA/C) based on criticality to evaluate and improve the security of IC card payment system as an illustration.

Systematic Evaluation of Fault Trees using Real-Time Model Checker (실시간 모델 체커를 이용한 풀트 트리의 체계적 검증)

  • 지은경;차성덕;손한성;유준범;구서룡;성풍현
    • Journal of KIISE:Software and Applications
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    • v.29 no.12
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    • pp.860-872
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    • 2002
  • Fault tree analysis is the most widely used saftly analysis technique in industry. However, the analysis is often applied manually, and there is no systematic and automated approach available to validate the analysis result. In this paper, we demonstrate that a real-time model checker UPPAAL is useful in formally specifying the required behavior of safety-critical software and to validate the accuracy of manually constructed fault trees. Functional requirements for emergency shutdown software for a nuclear power plant, named Wolsung SDS2, are used as an example. Fault trees were initially developed by a group of graduate students who possess detailed knowledge of Wolsung SDS2 and are familiar with safety analysis techniques including fault tree analysis. Functional requirements were manually translated in timed automata format accepted by UPPAAL, and the model checking was applied using property specifications to evaluate the correctness of the fault trees. Our application demonstrated that UPPAAL was able to detect subtle flaws or ambiguities present in fault trees. Therefore, we conclude that the proposed approach is useful in augmenting fault tree analysis.

Fault Diagnosis of Solar Power Inverter Using Characteristics of Trajectory Image of Current And Tree Model (전류 궤적 영상의 특징과 트리모델을 이용한 태양광 전력 인버터의 고장진단)

  • Hwang, Jae-Ho
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.47 no.4
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    • pp.102-108
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    • 2010
  • The photovoltaic system changes solar energy into DC by solar cell and this DC is inverted into AC which is used in general houses by inverter. Recently, the use of power of the photovoltaic system is increased. Therefore, the study of 3 phase solar system to transmit large power is very important. This paper proposes a method that finds simply faults and diagnoses the switch open faults of 3-phase pulse width modulation (PWM) inverter of grid-connected photovoltaic system. The proposed method in $\alpha\beta$ plane uses the patterns of trajectory image as the characteristic parameters and differenciates a normal state and open states of switches. Then, the result is made into tree. The tree is composed of 21 fault patterns and the parameters to classify faults are a shape, a trajectory area, a distributed angle, and a typical vector angle. The result shows that the proposed method diagnosed fault diagnoses, classified correctly them, and made a pattern tree by fault patterns.

Bus Reconfiguration Strategy Based on Local Minimum Tree Search for the Event Processing of Automated Distribution Substations

  • Ko Yun-Seok
    • KIEE International Transactions on Power Engineering
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    • v.5A no.2
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    • pp.177-185
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    • 2005
  • This paper proposes an expert system that can enhance the accuracy of real-time bus reconfiguration strategy by adopting the local minimum tree search method and that can minimize the spreading effect of the fault by considering the operating condition when a main transformer fault occurs in an automated substation. The local minimum tree search method is used to expand the best-first search method. This method has the advantage that it can improve the solution performance within the limits of the real-time condition. The inference strategy proposed expert system consists of two stages. The first stage determines the switching candidate set by searching possible switching candidates starting from the main transformer or busbar related to the event. The second stage determines the rational real-time bus reconfiguration strategy based on heuristic rules from the obtained switching candidate set. Also, this paper proposes generalized distribution substation modeling using graph theory, and a substation database based on the study results is designed.

Robust process fault diagnosis with uncertain data

  • Lee, Gi-Baek;Mo, Kyung-Joo;Yoon, En-Sup
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10a
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    • pp.283-286
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    • 1996
  • This study suggests a new methodology for the fault diagnosis based on the signed digraph in developing the fault diagnosis system of a boiler plant. The suggested methodology uses the new model, fault-effect tree. The SDG has the advantage, which is simple and graphical to represent the causal relationship between process variables, and therefore is easy to understand. However, it cannot handle the broken path cases arisen from data uncertainty as it assumes consistent path. The FET is based on the SDG to utilize the advantages of the SDG, and also covers the above problem. The proposed FET model is constructed by clustering of measured variables, decomposing knowledge base and searching the fault propagation path from the possible faults. The search is performed automatically. The fault diagnosis system for a boiler plant, ENDS was constructed using the expert system shell G2 and the advantages of the presented method were confirmed through case studies.

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