• 암석학회지
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• 제25권3호
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• pp.195-209
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• 2016

현생 응력장 하에서 주향이동단층계의 기하적인 형태는 단층의 재활 및 이에 수반된 지진의 전파와 지표파괴의 특성을 좌우하는 중요한 요인이다. 2016년 4월에 발생한 구마모토지진은 동-서 방향으로 작용하는 최대수평주응력 하에서 북북동 방향의 히나구 단층이 동북동 내지 북동방향의 후타가와 단층에 기하학적으로 ${\lambda}$형태를 이루며 접하는 후타가와-히나구 단층대의 우수향 재활에 의한 것으로 해석된다. 히나구 단층의 북동측 끝부분에서 구마모토 지진의 전진($M_w$ 6.1)이 발생한 이후, 본진($M_w$ 7.1)이 두 단층의 연결부에서 발생하였다. 본진에 연이어 발생한 여진은 후타가와 단층을 따라 북동방향으로 전파되어 아소산 지역에서 종결된 특징을 보인다. 구마모토 지진을 유발시킨 단층들이 이루는 기하적인 형태는 한반도 남동부지역에 발달하는 대표적인 대규모 활성단층으로 인식되고 있는 양산-울산 단층계와 매우 흡사하고 변형율이 차이가 난다. 양산-울산 단층계을 따라 발달하는 제4기 단층들의 연대분포는 양산단층의 북쪽 분절과 울산단층 일대에서 발달하는 제4기 단층들이 양산단층의 남쪽분절에 발달하는 제4기 단층들보다 상대적으로 더 젊은 특징을 보여주고 있다. 이러한 제4기 단층의 연대분포는 쿨룸 응력 모델링을 이용한 기존 연구결과와도 잘 일치한다. 따라서 현생응력조건 하에서 양산-울산단층계 일대의 지진 활성도는 양산단층의 중부 및 북쪽 분절과 울산단층에서 상대적으로 활발할 것으로 해석된다. 따라서 이 지역에 대한 면밀한 지진재해와 고지진학적 연구가 수행되어야 할 것으로 판단된다.

• 한국지진공학회논문집
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• 제19권6호
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• pp.265-271
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• 2015

The tsunami hazard analysis is performed for testing the application of probabilistic tsunami hazard analysis to nuclear power plant sites in the Korean Peninsula. Tsunami hazard analysis is based on the seismic hazard analysis. Probabilistic method is adopted for considering the uncertainties caused by insufficient information of tsunamigenic fault sources. Logic tree approach is used. Uljin nuclear power plant (NPP) site is selected for this study. The tsunamigenic fault sources in the western part of Japan (East Sea) are used for this study because those are well known fault sources in the East Sea and had several records of tsunami hazards. We have performed numerical simulations of tsunami propagation for those fault sources in the previous study. Therefore we use the wave parameters obtained from the previous study. We follow the method of probabilistic tsunami hazard analysis (PTHA) suggested by the atomic energy society of Japan (AESJ). Annual exceedance probabilities for wave height level are calculated for the site by using the information about the recurrence interval, the magnitude range, the wave parameters, the truncation of lognormal distribution of wave height, and the deviation based on the difference between simulation and record. Effects of each parameters on tsunami hazard are tested by the sensitivity analysis, which shows that the recurrence interval and the deviation dominantly affects the annual exceedance probability and the wave heigh level, respectively.

• 전기학회논문지
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• 제60권8호
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• pp.1492-1501
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• 2011

A wide-area protection intelligent technique has been used to improve a reliability in power systems and to prevent a blackout. Nowadays, voltage and current phasor estimation has been executed by GPS-based synchronized PMU, which has become an important way of wide-area blackout protection for the prevention of expending faults in power systems. As this technique has the difficulties in collecting and sharing of information, there have been used a FNET method for the wide-area intelligent protection. This technique is very useful for the prediction of the inception fault and for the prevention of fault propagation with accurate monitoring frequency and frequency deviation. It consists of FDRs and IMS. It is well known that FNET can detect the dynamic behavior of system and obtain the real-time frequency information. Therefore, FDRs must adopt a optimal frequency estimation method that is robust to noise and fault. In this paper, we present comparative studies for the frequency estimation method using IRDWT(improved recursive discrete wavelet transform), for the frequency estimation method using FRDWT(fast recursive discrete wavelet transform). we used the Republic of Korea 345kV power system modeling data by EMTP-RV. The user-defined arbitrary waveforms were used in order to evaluate the performance of the proposed two kinds of RDWT. Also, the frequency variation data in various range, both large range and small range, were used for simulation. The simulation results showed that the proposed frequency estimation technique using FRDWT can be the optimal frequency measurement method applied to FDRs.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2007년도 추계학술대회논문집
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• pp.886-890
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• 2007

Machine fault prognosis techniques have been considered profoundly in the recent time due to their profit for reducing unexpected faults or unscheduled maintenance. With those techniques, the working conditions of components, the trending of fault propagation, and the time-to-failure are forecasted precisely before they reach the failure thresholds. In this work, we propose an approach of Least Square Regression Tree (LSRT), which is an extension of the Classification and Regression Tree (CART), in association with one-step-ahead prediction of time-series forecasting technique to predict the future conditions of machines. In this technique, the number of available observations is firstly determined by using Cao's method and LSRT is employed as prognosis system in the next step. The proposed approach is evaluated by real data of low methane compressor. Furthermore, the comparison between the predicted results of CART and LSRT are carried out to prove the accuracy. The predicted results show that LSRT offers a potential for machine condition prognosis.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2006년도 추계학술대회논문집
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• pp.591-596
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• 2006

This study is base on the fault detection and diagnosis when a crack is happened a structure. A crack in a structure will affect the modal parameters. We are searched a percentage of changes in the natural frequencies according to changes of location and propagation of the crack using the Rayleigh's energy method. This method is presented to identify the presence of a crack and its location. The study is carried out both theoretically and experimentally and the results are presented in this paper. The location of the crack is also moved from the fixed end to the free end along its length. The changes in natural frequencies are observed from theoretically study, due to the presence of the crack at different locations and depths, and the percentage change in frequency values are calculated. These results are confirmed by the experiments. And then, a difference between a cracked beam and uncracked beam observed using the bispectrum as high-order spectrum.

• 대한전기학회논문지:전력기술부문A
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• 제51권4호
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• pp.188-195
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• 2002

We proposed the design of SVC adaptive fuzzy logic controller(AFLC) using Tabu search and neural network. We tuned the gains of input-output variables of fuzzy logic controller(FLC) and weights of neural network using Tabu search. Neural network was used for adaptively tuning the output gain of FLC. The weights of neural network was learned from the back propagation algorithm in real-time. To evaluate the usefulness of AFLC, we applied the proposed method to single-machine infinite system. AFLC showed the better control performance than PD controller and GAFLS[10] for three-phase fault in nominal load which had used when tuning AFLC. To show the robustness of AFLC, we applied the proposed method to disturbances such as three-phase fault in heavy and light load. AFLC showed the better robustness than PD controller and GAFLC[10].

• 한국정보처리학회논문지
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• 제2권3호
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• pp.425-432
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• 1995

본 논문에서는 VLSI 회로망의 데스트 패턴 생성에 적합한 범용 자동 데스트 패턴 생성기(UATPG)의 설계 및 구현 기법을 기술하고자 한다. UATPG는 기존 ATPG의 용량을 확장하고 CAD 사용자에게 편리한 설계 환경을 제공하는데 초점을 맞추어 구현되었다. 테스트 패턴 생성시에 함수적 게이트의 신호선 논리값확인 및 고장효과전달을 효과적 으로 수행하기 위하여 경험적인 기법을 고안하여 적용하였다. 또한, 테스트 용이화 설계(design for testability)에 사용되는 기억소자(flip-flop)가 의사 입출력으로 이 용되어 VLSI 회로망의 시험성을 한층 높여 주었다. 그 결과, UATPG는 사용의 용이성과 성능면에서 좋은 성과를 보여주었다.

• 지구물리
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• 제5권1호
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• pp.1-8
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• 2002

한반도 남동지역에서의 Lg 감쇠 연구는 산업 지역에 놓인 활성단층으로 여겨지는 양산단층의 존재로 매우 중요하다. 두 관측점법에 의한 Lg 감쇠를 해석한 결과, 0.87 - 10 Hz 구간이 $${＼gamma}=(0.009±0.0005)＼;f^{0.06+0.03}$$이다. ${＼gamma}$값에서 변환된 ${Q_{Lg}}^{-1}$값은 동일한 지역에서 측정된 S파의 값보다 매우 높고, 10Hz 가까운 영역에서는 세계에서도 가장 높은 수준이 검출되었다. 이 높은 값은 동해에 의한 Lg 차단 효과이거나, 조사지역의 지각두께 변화와 연관이 된 것으로 보인다.

• Nuclear Engineering and Technology
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• 제53권2호
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• pp.532-548
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• 2021

Nuclear power plants contain several monitoring systems that can identify the in-vessel phenomena of a severe accident (SA). Though a lot of analysis and research is carried out on SA, right from the development of the nuclear industry, not all the possible circumstances are taken into consideration. Therefore, to improve the efficacy of the safety of nuclear power plants, additional analytical studies are needed that can directly monitor severe accident phenomena. This paper presents an interacting multiple model (IMM) based fault detection and diagnosis (FDD) approach for the identification of in-vessel phenomena to provide the accident propagation information using reactor vessel (RV) out-wall temperature distribution during severe accidents in a nuclear power plant. The estimation of wall temperature is treated as a state estimation problem where the time-varying wall temperature is estimated using IMM employing three multiple models for temperature evolution. From the estimated RV out-wall temperature and rate of temperature, the in-vessel phenomena are identified such as core meltdown, corium relocation, reactor vessel damage, reflooding, etc. We tested the proposed method with five different types of SA scenarios and the results show that the proposed method has estimated the outer wall temperature with good accuracy.

• 한국지진공학회논문집
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• 제11권4호
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• pp.25-31
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• 2007

For areas such as the Korean Peninsula, which have moderate seismic activity but no available records of strong ground motion, synthetic seismograms can be used to evaluate ground motion without waiting for a strong earthquake. Such seismograms represent the estimated ground motions expected from a set of possible earthquake scenarios. Local site effects are especially important in assessing the seismic hazard and possible ground motion scenarios for a specific fault. The earthquake source and rupture dynamics can be described as a two-step process of rupture initiation and front propagation controlled by a frictional sliding mechanism. The seismic wavefield propagates through heterogeneous geological media and finally undergoes near-surface modulations such as amplification or deamplification. This is a complex system in which various scales of physical phenomena are integrated. A unified approach incorporates multi-scale problems of dynamic rupture, radiated wave propagation, and site effects into an all-in-one model using a three-dimensional, fourth-order, staggered-grid, finite-difference method. The method explains strong ground motions as products of complex systems that can be modified according to a variety of fine-scale rupture scenarios and friction models. A series of such deterministic earthquake scenarios can shed light on the kind of damage that would result and where it would be located.