• Journal of the Korea institute for structural maintenance and inspection
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• v.25 no.6
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• pp.161-168
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• 2021

This paper is a maintenance system for bridge represented by Class 3 and other than by law bridges. Domestic bridge are divided into Class 1 & 2 bridges and Class 3 & other than by law bridges. The number of type 3 and other than by law bridges is very large. But, it is considered to be of relatively low importance compared to Class 1 & 2 Bridge Bridge. So, in this paper is propose a maintenance system and procedure for small & medium-sized bridges. However, because the number of small & medium-sized bridges is large, it is not possible to evaluate the performance of all bridges like Class 1 & 2 bridge. The reason is the lack of manpower and budget. Based on the Risk Matrix method, a maintenance procedure was created to select the bridge for which performance evaluation should be performed first. For this purpose, basic information of the bridge is used. And, the developed maintenance procedures were applied to the bridges in actual use.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.23 no.2
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• pp.70-76
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• 2009

This paper introduces an evaluation code, which can numerically express the noise possessing degree of signals. By using this code, the best kind and setting of noise suppressing techniques can be chosen automatically. This code is applied to three kinds of specific denoising techniques; those are simple noise removing method in the count versus phase distribution, fuzzy logic method based on noise type in magnitude versus phase plot, and lastly, the technique using grouping characteristics of PD pulses in 3D plot of magnitude versus phase versus cycle. The algorithm shows good performance in the various real PD signals measured from various high voltage apparatuses in Korea.

• Journal of the Korea institute for structural maintenance and inspection
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• v.12 no.5
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• pp.179-189
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• 2008

The object of this study is to develope a program with proposed numerical techniques for an optimal seismic control of structures using active tendon systems. Ricatti closed-loop algorithm has been applied to control the active tendon systems with time-delay problem. The optimal control is formulated as an optimization problem which is finding optimal weighting matrices by minimizing the quadratic performance index by SUMT. In order to find the optimal location of active tendons in structures, controllability index has been introduced. From numerical examples, the current optimal control technique with optimal location of tendons was suitable to control the seismic response of structures.

• The KSFM Journal of Fluid Machinery
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• v.20 no.2
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• pp.32-40
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• 2017

In this study, an in-house program to analyze the performance degradation for gas turbines is developed using MATLAB and is validated using commercial software. This program consists of design and off-design calculations. The results of design calculation is used for reference values of off-design calculation. The off-design calculation is composed of measured and expected performance analyses, and turbine inlet temperature correction. In general, performance degradation is analyzed by comparing the results of measured and expected performance analysis. However, if gas turbine performance degrades, turbine inlet temperature might increase due to the general control logic to comply with the power demand. Therefore, it is required to consider the deviation of turbine inlet temperature from the normal value in the performance diagnosis to analyze the performance degradation exactly. In this study, a special effort is given to the correction of turbine inlet temperature. The accuracy of the developed program is confirmed by comparison with commercial software, and its capability of performance diagnosis using the turbine inlet temperature correction is demonstrated.

• Proceedings of the KIEE Conference
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• 2007.10a
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• pp.473-474
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• 2007

본 연구는 체내 이식형 Pacemaker를 연구하면서 심장 질환을 Therapy 해 주는 방법에 대해 저전력 및 성능향상에 중점을 두고 연구 및 실험을 하였다. 우선적으로 심장의 심박동을 연산량이 적은 Peak_detection에서 체크하여 전력소모를 줄이고 나오는 각 심실 및 심방의 Interval을 Disease_episode 에서 받는다. 여기서 5가지 심실 및 심방에 관한 질환들 (VF : Ventricular Fibrillation, VT : Ventricular Tachycardia, FVT : Fast Ventricular Tachycardia, FAT_AF : Fast Atrial Tachycardia/Atrial Fibrillation, AT_AF : Atrial Tachycardia AT_AF : Atrial Fibrillation)을 판별한 후 각 병증에 맞는 Therapy 값을 출력하게 하였다. 그 외에 남아있는 병증에 대해서도 Therapy가 저전력 및 성능향상 되도록 설계하였다. 기존에 적용되어 있는 Detection 기법에서는 각각의 병증에 대해서 각 Detection이 있어 VF와 VT 사이에 있는 FVT와 같은 병증을 치료할 때 FVT 같은 경우에는 VF와 VT사이에 있는 질병이기 때문에 FVT_VF 및 FVT_VT와 같이 각각의 Detection을 두어 전력 소모가 있었다. 심장에서는 여러 질병이 한번에 나을 수 없다는 것에 착안하여 (심박동 Interval에 의해 질병이 판단되므로) 다른 병증이지만 같은 진단 기준을 쓰는 Detection을 통합함으로써 하나의 모듈로 구성하여 Gate수를 줄이고 저전력을 구현하였다. 또한 병증을 판별하는 진단 기준 모듈 중 Onset_Criterion 재설계하여 좀더 성능 향상에 중점을 두었다.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.50 no.10
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• pp.717-727
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• 2022

An algorithm is realized for estimating the component fault and health diagnosis such as a deterioration. Based on the turbofan engine health diagnosis model, from the health parameters which are estimated by a real time tracking filter, the outliers are eliminated efficiently by an effective median filter to minimize an false alarm. The difference between the fault and deterioration trends is identified by the detection measure for abrupt change, thereby the clear diagnosis classifying the fault and the health condition is possible. The effectiveness of the algorithm for fault and health diagnosis is verified from the simulated results of engine component faults and deterioration.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.915-916
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• 2017

본 연구에서는 X-ray 영상에서 산란선의 영향을 보정하는 소프트웨어 기법을 제시한다. 영상에서 픽셀값과 에지 요소가 연관된 에너지함수를 정의하고 이를 최적화 하는 방법을 통하여 X-ray 영상을 개선한다. 영상개선 과정에서 추출하는 에지정보의 신뢰성은 응용의 특성과 연관하여 성능에 민감한 영향을 준다. 이에 본 연구에서는 기존의 에지 추출 기법을 통합한 에지 정보 개선 기법을 적용하였으며 실제 X-ray 영상을 사용한 실험결과로부터 제안된 이론의 타당성을 고찰하였다. 이는 X-ray를 사용한 의료진단에서 산란선 보정을 위한 하드웨어의 기능을 대치할 수 있는 방법으로서 의미를 갖는다.

• Journal of the Korean Institute of Gas
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• v.1 no.1
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• pp.27-32
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• 1997

Continual monitoring of abnormal operating conditions i a key issue in maintaining high product quality and safe operation, since the undetected process abnormality may lead to the undesirable operations, finally producing low quality products, or breakdown of equipment. The statistical projection method recently highlighted has the advantage of easily building reference model with the historical measurement data in the statistically in-control state and not requiring any detailed mathematical model or knowledge-base of process. As the complexity of process increases, however, we have more measurement variables and recycle streams. This situation may not only result in the frequent occurrence of process Perturbation, but make it difficult to pinpoint trouble-making causes or at most assignable source unit due to the confusing candidates. Consequently, an ad hoc skill to monitor and diagnose in plat-wide scale is needed. In this paper, we propose a hierarchical plant-wide monitoring methodology based on hierarchical decomposition and principal component analysis for handling the complexity and interactions among process units. This have the effect of preventing special events in a specific sub-block from propagating to other sub-blocks or at least delaying the transfer of undesired state, and so make it possible to quickly detect and diagnose the process malfunctions. To prove the performance of the proposed methodology, we simulate the Tennessee Eastman benchmark process which is operated continuously with 41 measurement variables of five major units. Simulation results have shown that the proposed methodology offers a fast and reliable monitoring and diagnosis for a large scale chemical plant.

• Journal of the Korean Society for Nondestructive Testing
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• v.20 no.6
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• pp.521-537
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• 2000

Ultrasonic imaging is the most widely used modality among modern imaging device for medical diagnosis and the system performance has been improved dramatically since early 90's due to the rapid advances in DSP performance and VLSI technology that made it possible to employ more sophisticated algorithms. This paper describes "main stream" digital signal processing functions along with the associated implementation considerations in modern medical ultrasound imaging systems. Topics covered include signal processing methods for resolution improvement, ultrasound imaging system architectures, roles and necessity of the applications of DSP and VLSI technology in the development of the medical ultrasound imaging systems, and array signal processing techniques for ultrasound focusing.

• Journal of the Korea institute for structural maintenance and inspection
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• v.10 no.6
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• pp.154-163
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• 2006

This paper presents a nonlinear analysis method for the reinforced concrete beams strengthened by the external bonding of high strength, lightweight fiber sheets on the tension face of the beams. The method is based on the results of experimental studies. The experimental study involved tensile tests of 120 specimens to evaluate the tensile properties of fiber sheets(carbon, glass, and aramid fiber) and bending tests of 75 beams strengthened with various types of fiber sheets to evaluate the flexural capacities. Based on these experimental results, reasonable rupture strains of the fiber sheets were estimated. The nonlinear flexural analysis considered nonlinear flexural stresses as compressive and tensile stresses of concrete, load-deflection curves, and rupture strains of fiber sheets. The nonlinear flexural analysis accurately predicts the load-deflection response and the flexural behavior of the retrofitted beams.