• 대한전기학회:학술대회논문집
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• 대한전기학회 1989년도 하계종합학술대회 논문집
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• pp.241-245
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• 1989

A knowledge based expert system is a computer program that emulates the reasoning process of a human expert in a specific problem domain. This paper presents an expert system to diagnose the various faults in power system. The developed expert system is represented considering two points; the possibility of solution and the fast processing speed. As uncertainties exist in the facts and rules which comprise the knowledge base of the expert system, Certainty Factor, which is based on the confirmation theory is used for the inexact reasoning. Also, as the diagnosis problem requires the inductive reasoning process in nature, the solution is imperfect and not unique in general. So the expert system is designed to generate all the possible hypothesis in order of the possibility and also it can explain the propagation procedure of the faults for each solution using the built in backtracking mechanism. In realization of the expert system, the processing speed is greatly dependent upon the problem representation, reasoning scheme and search strategy. So, in this paper the fault diagnosis problem itself is analysed from the view point of Artificial Intelligence and as a result, the expert system has the following basic features. 1) The certainty factor is adopted in the inference engine for inexact reasoning. 2) Problem apace is represented using the problem reduction technique. 3) Bidirectional reasoning scheme is used. 4) Best first search strategy is adopted for rapid processing. The expert system was developed us ing PROLOG language.

• 한국초전도ㆍ저온공학회논문지
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• 제6권2호
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• pp.11-14
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• 2004

YBCO thin films have good characteristics for current limiting materials due to compact size and high current carrying capability. But the irregularities and the extreme thin thickness of YBCO films cause some difficulties in simultaneous quench and thermal shock protection. In order to solve these problems, vertical magnetic field generated from solenoid coil was applied to the YBCO element. And also to minimize the inductance caused by the serial connection of magnetic field source with superconducting elements, magnetic field source was separated from the power lines adapting protective current transformer. In this study, electric field-current (E-I) and quench characteristics of YBCO films were analyzed both by electrical measuring method and observations of bubble propagation. From the experiment results, it was revealed that the magnetic fields generated by surrounding coil could induce the uniform quench distribution for all stripes of current limiting units and finally simultaneous quenches were realized in all serial connection of YBCO elements. In addition, the separation of magnetic field source form electrical network could be good solution for simultaneous quench of YBCO films without any unnecessary effect caused by serial connection.

• 한국정밀공학회지
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• 제9권4호
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• pp.22-35
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• 1992

In highly automated machining centers, intelligent sensor fddeback systems are indispensable on order to monitor their operations, to ensure efficient metal removal, and to initate remedial action in the event of accident. In this study, an on-line tool wear detection system for thrning operations is developed, and experimentally evaluated. The system employs multiple sensors and the signals from these sensors are processed using a multichannel autoegressive (AR) series model. The resulting output from the signal processing block is then fed to a previously tranied artificial neural network (multiayered perceptron) to make a final decision on the state of the cutting tool. To learn the necessary input/output mapping for tool wear detection, the weithts and thresholds of the network are adjusted according to the back propagation (BP) method during off-line training. The results of experimental evaluation show that the system works well over a wide range of cutting conditions, and the ability of the system to detect tool wear is improved due to the generalization, fault-tolearant and self-ofganizing properties of the neural network.

• Journal of Microbiology and Biotechnology
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• 제12권4호
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• pp.687-691
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• 2002

To enhance the production of flavonoids [baicalin, wogonin-7-Ο-glucuronic acid (GA)], which are secondary metabolites of Scutellaria baicalensis Georgi(G.) plant cells, a multilayer perceptron control system was applied to regulate the substrate feeding in a fed-batch cultivation. The optimal profile for the substrate feeding rate in a fed-batch culture of S. baicalensis G. was determined by simulating a kinetic model using a genetic algorithm. Process variable profiles were then prepared for the construction of a multilayer perceptron controller that included massive parallelism, trainability, and fault tolerance. An error back-propagation algorithm was applied to train the multiplayer perceptron. The experimental results showed that neurocontrol incorporated with a genetic algorithm improved the flavonoid production compared with a simple fuzzy logic control system. Furthermore, the specific production yield and flavonoid productivity also increased.

• Geomechanics and Engineering
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• 제13권3호
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• pp.411-429
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• 2017

A Spectral Element Method for 3D seismic wave propagation simulation is derived based on the three-dimensional fluctuating elastic dynamic equation. Considering the 3D real terrain and the attenuation characteristics of the medium, the topographic effect of Wenchuan earthquake is simulated by using the Spectral Element Method (SEM) algorithm and the ASTER DEM model. Results show that the high PGA (peak ground acceleration) region was distributed along the peak and the slope side away from the epicenter in the epicenter area. The overall distribution direction of high PGA and high PGV (peak ground velocity) region is parallel to the direction of the seismogenic fault. In the epicenter of the earthquake, the ground motion is to some extent amplified under the influence of the terrain. The amplification effect of the terrain on PGA is complicated. It does not exactly lead to amplification of PGA at the ridge and the summit or attenuation of PGA in the valley.

• 자원환경지질
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• 제47권4호
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• pp.381-393
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• 2014

이라크 북동부 지역 메소포타미아 분지 백악기 퇴적층의 층서, 구조지질 및 탄화수소 부존 가능성을 이해하기 위해 야외지질조사자료 및 탄성파 탐사자료를 병합하였다. 분지 내 백악기 지층은 크게 Qamchuqa 층, Kometan 층, Bekhme 층, Shiranish 층 등으로 구분되며, 대부분 천해 환경에서 형성된 탄산염암으로 구성되어 있다. 주요 지질구조는 크게 트러스트, 분리습곡, 단층 전파습곡, 단층 만곡습곡 등으로 구분될 수 있다. 또한 파쇄단열은 북서-남동으로 발달하는 지질구조를 따라 이와 평행 또는 수직 방향으로 규칙적인 분포양상을 보인다. 파쇄단열의 분포와 빈도는 이러한 습곡과 단층들의 발달에 의해 규제되어진다. 탄화수소 부존가능성 측면에서 분지 내 백악기 퇴적층들은 유기탄소함량의 부족과 파쇄단열의 발달로부터 각기 근원암이나 덮개암으로 제한된 능력을 가진다. 그러나 탄산염암들이 제한된 1차 공극을 가지고 있음에도 불구하고 파쇄단열에 의한 2차 공극의 발달은 암석의 저류능력을 증가시키는데 기여한다. 백악기 탄산염암의 저류 능력을 결정하는 가장 중요한 요인은 습곡 및 단층의 상대적 위치 등에 따른 파쇄단열의 발달 빈도와 연결성에 있는 것으로 보인다. 본 연구에서 도출된 결과는 이라크 북동부 지역 백악기 지층의 층서 및 지질구조를 이해하는데 참고로 사용될 수 있으며, 향후 이 지역의 백악기 퇴적층들의 탄화수소 부존가능성을 연구함에 있어 매우 유용한 정보를 제공 해 줄 수 있다.

• 한국해안·해양공학회논문집
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• 제36권2호
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• pp.80-86
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• 2024

전 세계적으로 대규모 지진이 다발적으로 발생하고 있다. 특히, 2011년 동일본 대지진으로 인해 동아시아 일대의 지각이 긴장상태에 있으며, 향후 발생할 수 있는 지진 활동에 대한 우려와 불확실성이 더욱 가중되고 있다. 동해안 지진해일에 대한 대책으로 국립재난안전연구원에서는 동해안을 대상으로 지진해일 수치모의를 통해 지진해일의 범람 특성 분석 및 침수예상도 작성에 관한 연구를 수행한 바 있다. 그러나 남해안의 경우 동해안에 비해 지진해일에 관한 연구가 매우 부족한 실정이다. 남해안의 경우 조차가 1~4 m로 조석의 영향을 무시할 수 없을 정도이기 때문에 조석의 영향이 지진해일 전파특성에 미치는 영향을 분석할 필요성이 있다. 남해안에 영향을 미칠 수 있는 지진해일 발생지는 해저의 단층운동이 활발한 유구열도(Ryukyu lsland)와 난카이트러프 단층대이다. 과거 남해안은 지진해일의 직접적인 피해가 없었으나, 지진해일 발생 가능성은 항시 존재하기 때문에 사전에 대비할 수 있는 연구가 필요하다. 따라서 본 연구에서는 남해안에 영향을 미칠 수 있는 지진해일 가상시나리오에 대한 지진해일 수치모의를 하였다. 아울러 조석과 지진해일의 상호작용으로 연안에서 나타나는 해일 전파특성을 분석하고자 한다. 이는 남해안 지진해일 위험성 평가를 통해 남해안에서 발생할 수 있는 지진해일 대비에 활용될 것으로 판단된다.

• Journal of Electrical Engineering and Technology
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• 제12권2호
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• pp.689-700
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• 2017

This paper presents an effective approach for wind turbine (WT) condition assessment based on the data collected from wind farm supervisory control and data acquisition (SCADA) system. Three types of assessment indices are determined based on the monitoring parameters obtained from the SCADA system. Neural Networks (NNs) are used to establish prediction models for the assessment indices that are dependent on environmental conditions such as ambient temperature and wind speed. An abnormal level index (ALI) is defined to quantify the abnormal level of the proposed indices. Prediction errors of the prediction models follow a normal distribution. Thus, the ALIs can be calculated based on the probability density function of normal distribution. For other assessment indices, the ALIs are calculated by the nonparametric estimation based cumulative probability density function. A Back-Propagation NN (BPNN) algorithm is used for the overall WT condition assessment. The inputs to the BPNN are the ALIs of the proposed indices. The network structure and the number of nodes in the hidden layer are carefully chosen when the BPNN model is being trained. The condition assessment method has been used for real 1.5 MW WTs with doubly fed induction generators. Results show that the proposed assessment method could effectively predict the change of operating conditions prior to fault occurrences and provide early alarming of the developing faults of WTs.

• 대한기계학회논문집A
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• 제21권3호
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• pp.405-413
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• 1997

In the present paper, it is attempted to reconfirm the "Intelligent" material properties using both the sintered TiNi/Al(1100) matrix composite made by powder metallurgy method and the squeeze-casted TiNi/Al6061 specimens. A metal matrix composite is, its fault has been considered to deteriorate a strength of composite by heating residual stress of the matrix. Therefore, it is necessary to remove a tensile residual stress, to produce the strength of a composite better. On the contrary, if compressive residual stress happens in matrix of composite in place of tensile residual stress, it will make the strength of composite better. So that, this paper introduce the development of a high strength of composite, by using compressive residual stress well, on the study. By using these specimens, shape memory strengthening effects in tensile strength and fatigue crack propagation above inverse transformation temperature of TiNi fiber were investigated. We occurs the prestrain and volume fraction for to discuss the effects of a composite strength. Moreover, by SEM observation, the effect of the residual stress at the interface between Al matrix and TiNi fiber and some brittle precipitation layers such as inter metallic compounds on fracture mechanisms was discussed metallurgically.urgically.

• 한국정보통신학회논문지
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• 제14권11호
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• pp.2463-2470
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• 2010

실시간으로 특정 대상의 위치를 추적하는 것은 특히 u-헬스 서비스에 있어서는 이용자가 자율적인 통제가 어려운 상황에 처할 수 있음에 따라 중요하게 요구되는 사항이다. 지금까지 위치를 인식하는 대표적 방법으로 삼각측량법이 제시되어 왔는데, 이는 세 개의 고정된 기준점에 의하여 대상노드와의 거리를 측량하여 위치를 추정하는 방법이다. 그러나 특히 u-헬스 서비스에서 이용자는 위치인식을 위한 기준 수신장치로부터 멀어지거나 또는 수신장치의 장애, 고장, 부재 등과 같은 통신 도달성이 결여된 여건에 처할 수 있다. 본 논문에서는 이러한 특수한 여건이나 상황에 적용 가능한 위치인식 방안과 이를 실시간으로 추적할 수 있는 방법을 연구하여 제시한다.