• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1993년도 춘계학술대회 논문집
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• pp.305-309
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• 1993

The application of fault tree technique to the analysis of compressor failure is considered. The techniques involve the decomposition of the system into a logic diagram or fault tree in whichcertain basic or primary events lead to a specified top event which signifiss the total failure of the system. The fault trees are used to obtain miniumal cut sets from whichthe modes of system failure and, hence the reliability for the top event can be calculated. The method of constructing fault trees and the subsequent estimation of reliability of the system is illustrated through a compressor failure. FTA is roved to be efficient to investigate the compressor fault train.

• Nuclear Engineering and Technology
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• 제56권6호
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• pp.2092-2098
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• 2024

Probabilistic safety assessment (PSA) plays a critical role in ensuring the safe operation of nuclear power plants. In PSA, event trees are developed to identify accident sequences that could lead to core damage. These event trees are then transformed into a core-damage fault tree, wherein the accident sequences are represented by usual and complemented logic gates representing failed and successful operations of safety systems, respectively. The core damage frequency (CDF) is estimated by calculating the minimal cut sets (MCSs) of the core-damage fault tree. Delete-term approximation (DTA) is commonly employed to approximately solve MCSs representing accident sequence logics from noncoherent core-damage fault trees. However, DTA can lead to an overestimation of CDF, particularly when fault trees contain many nonrare events. To address this issue, the present study introduces a new zero-suppressed ternary decision diagram (ZTDD) algorithm that averts the CDF overestimation caused by DTA. This ZTDD algorithm can optionally calculate MCSs with DTA or prime implicants (PIs) without any approximation from the core-damage fault tree. By calculating PIs, accurate CDF can be calculated. The present study provides a comprehensive explanation of the ZTDD structure, formula of the ZTDD algorithm, ZTDD minimization, probability calculation from ZTDD, strength of the ZTDD algorithm, and ZTDD application results. Results reveal that the ZTDD algorithm is a powerful tool that can quickly and accurately calculate CDF and drastically improve the safety of nuclear power plants.

• Journal of Biosystems Engineering
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• 제21권2호
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• pp.175-181
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• 1996

Autonomous speedsprayer operation was conducted using the developed FLC(Fuzzy Logic Controller). Orchard image and signals of ultrasonic sensors were processed in real time. The speedsprayer was modified to be steered by two hydraulic cylinders. The FLC has two inputs, direction of running and distance from obstacles. The operation time of hydraulic cylinders were inferred as output of the FLC. Field test results showed that the speedsprayer could be autonomously operated by the FLC along with the image processing and the ultrasonic sensors. The ultrasonic sensors didn't contribute to the improvement of guidance performance, but the speedsprayer could avoid trees or obstacles in emergent situations with them.

• 한국해안·해양공학회논문집
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• 제31권6호
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• pp.368-378
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• 2019

확률론적 지진해일 재해도 평가를 위한 로직트리는 지진발생 패턴의 다양성을 고려하기 위해 많은 변수를 고려하여 구성된다. 고려되는 변수가 많아질수록 재해도 평가 결과는 다양한 패턴으로 변화한다. 본 연구에서는 로직트리에 제시되어 있는 다양한 단층 파라미터 변수와 스케일링 규칙이 부산 근해에서의 지진해일 재해도에 미치는 영향을 평가하였다. 로직트리에 제시된 변수 중 주향각, 경사각 및 단층변위분포 변수의 값을 변화시켜가며 지진해일 전파모의를 수행하고, 그 결과를 이용하여 민감도 분석을 수행하였다. 그 결과 주향각 변수가 재해도 평가 결과에 미치는 영향은 예상보다 크지 않은 반면, 초기수면의 공간적 분포에 영향을 줄 수 있는 경사각과 단층변위분포의 영향이 크게 나타났다. 이는 주향각보다는 초기수면의 형상을 결정하는 경사각과 단층변위의 공간분포가 동해 지진해일의 재해도 평가에서 중요인자임을 보여준다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제16권1호
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• pp.27-35
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• 2016

Black-box classifiers, such as artificial neural network and support vector machine, are a popular classifier because of its remarkable performance. They are applied in various fields such as inductive inferences, classifications, or regressions. However, by its characteristics, they cannot provide appropriate explanations how the classification results are derived. Therefore, there are plenty of actively discussed researches about interpreting trained black-box classifiers. In this paper, we propose a method to make a fuzzy logic-based classifier using extracted rules from the artificial neural network and support vector machine in order to interpret internal structures. As an object of classification, an anomalous propagation echo is selected which occurs frequently in radar data and becomes the problem in a precipitation estimation process. After applying a clustering method, learning dataset is generated from clusters. Using the learning dataset, artificial neural network and support vector machine are implemented. After that, decision trees for each classifier are generated. And they are used to implement simplified fuzzy logic-based classifiers by rule extraction and input selection. Finally, we can verify and compare performances. With actual occurrence cased of the anomalous propagation echo, we can determine the inner structures of the black-box classifiers.

• 대한전자공학회논문지
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• 제26권12호
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• pp.2039-2045
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• 1989

In this paper, we developed placement algorithm for drafting logic schmeatics. The algorithm of this system is to base placement on signal flow as opposed to connectivity. The key idea of this algorithm is that by dividing the schematic into simpler acyclic, uni-directional graphs, called tree. Then the components of tree and their interconnections have the characteristics that they can be laid out symmetrically without any crossovers. The interconnectivity between the trees are analyzed and a placement scheme is determined for them. Also, the trees are expended into their respective components. This algorithm is divided into four main phases: Initiate, Divide, Merge, Placement.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 1996년도 International Conference on Agricultural Machinery Engineering Proceedings
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• pp.648-657
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• 1996

Autonomous speedsprayer operation in an orchard was conducted using a fuzzy logic controller (FLC). Orchard image analysis and signals of ultrasonic sensors were processed in real time. The speedsprayer was modified to be steered by two hydraulic cylinders. The FLC has two inputs of direction of running and distance from obstacles. Operation time of the hydraulic cylinders were inferred as output of the FLC. Field test results showed that the speedsprayer could be autonomously operated by the FLC along with the image processing and the ultrasonic sensors. The ultrasonic sensors didn't contribute to the improvement of guidance performance, but the speedsprayer could avoid trees or obstacles in emergent situations with them.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 1998년도 추계종합학술대회
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• pp.141-145
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• 1998

This paper CMOS full adder design method based on carry-propagation-free addition trees and a circuit technique, so called multiple-valued current-mode (MVCM) circuits. The carry-paopagation-free addition method uses a redundant digit sets called redundant positive-digit number representations. The carry-propagation-free addition is by three steps, and the adder can be designed directly and efficiently from the algorithm using MVCM circuit. We demonstrate the effectiveness of the proposed method through simulation(SPICE).

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 1998년도 춘계종합학술대회
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• pp.338-341
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• 1998

This paper presents CMOS full adder design method based on carry-propagation-free addition trees and a circuit technique, so called multiple-valued current-nude(MVCM) circuits. The carry-propagation-free addition method uses a redundant digit sets called redundant positive-digit number representations. The carry-propagation-free addition is by three steps, and the adder can be designed directly and efficiently from the algorithm using WVCM circuit, Also Multiplier can be designed by these adder. We demonstrate the effectiveness of the proposed method through simulation(SPICE).

• 한국해안·해양공학회논문집
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• 제31권2호
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• pp.62-72
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• 2019

지진해일 규모와 발생시기 예측의 어려움으로 인해 결정론적 방법으로 얻은 결과가 실제 재난을 반영하지 못하는 사례가 발생하고 있다. 따라서 지진해일의 불확실성을 확률론적으로 접근하는 확률론적 지진해일 재해도 분석(Probabilistic Tsunami Hazard Analysis) 연구의 중요성이 점차 증가하고 있다. 본 연구에서는 과거 동해안에 피해를 유발한 동해 동연부 지진에 대하여 확률론적 지진해일 재해도 분석을 위한 기초연구를 수행하였다. 초기수면변위와 해일고분포의 불확실성을 고려하기 위해 로직트리 기법을 사용하였으며, 우리나라에 내습하는 지진해일의 특성을 반영하여 분기를 구성하였다. 프랙타일 곡선을 산출하는 과정에서 분기의 수가 증가하면 시간소요가 비선형적으로 증가하므로 모든 분기를 고려하면서도 계산시간을 줄일 수 있는 개선된 방법을 제안하였다. 새로 제안된 이산가중치분포법(Discrete Weight Distribution)과 정렬기법 및 몬테카를로법으로 얻은 결과의 일관성과 소요시간을 비교하였다. 이산가중치분포법은 정렬기법을 적용한 경우보다 계산시간이 짧아 효율적인 것으로 평가되었으나, 다수의 분기나 세그먼트를 고려할 경우 몬테카를로 방법이 더 효율적인 것으로 판단된다.