• KIPS Transactions on Software and Data Engineering
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• v.11 no.4
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• pp.179-188
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• 2022

There have been many successful researches on a bearing fault diagnosis based on Deep Learning, but there is still a critical issue of the data distribution difference between training data and test data from their different working conditions causing performance degradation in applying those methods to the machines in the field. As a solution, a data adaptation method has been proposed and showed a good result, but each and every approach is strictly limited to a specific applying scenario or presupposition, which makes it still difficult to be used as a real-world application. Therefore, in this study, we have proposed a method that, using a data transformation with MFCCs and a simple CNN architecture, can perform a robust diagnosis on a target domain data without an additional learning or tuning on the model generated from a source domain data and conducted an experiment and analysis on the proposed method with the CWRU bearing dataset, which is one of the representative datasests for bearing fault diagnosis. The experimental results showed that our method achieved an equal performance to those of transfer learning based methods and a better performance by at least 15% compared to that of an input transformation based baseline method.

• Journal of the Korea Society of Computer and Information
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• v.10 no.6 s.38
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• pp.27-36
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• 2005

Finite failure NHPP models presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates Per fault. This Paper Proposes reliability model using the generalized gamma distribution, which can capture the monotonic increasing(or monotonic decreasing) nature of the failure occurrence rate per fault. Equations to estimate the parameters of the generalized gamma finite failure NHPP model based on failure data collected in the form of interfailure times are developed. For the sake of proposing shape parameter of the generalized gamma distribution, used to the special pattern. Data set, where the underlying failure process could not be adequately described by the knowing models, which motivated the development of the gamma or Weibull model. Analysis of failure data set for the generalized gamma modell, using arithmetic and Laplace trend tests . goodness-of-fit test, bias tests is presented.

• Journal of the Korea Society of Computer and Information
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• v.15 no.5
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• pp.125-132
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• 2010

Decision problem called an optimal release policies, after testing a software system in development phase and transfer it to the user, is studied. The applied model of release time exploited infinite non-homogeneous Poisson process. This infinite non-homogeneous Poisson process is a model which reflects the possibility of introducing new faults when correcting or modifying the software. The failure life-cycle distribution used exponential and non-exponential family which has various intensity. Thus, software release policies which minimize a total average software cost of development and maintenance under the constraint of satisfying a software reliability requirement becomes an optimal release policies. In a numerical example, after trend test applied and estimated the parameters using maximum likelihood estimation of inter-failure time data, estimated software optimal release time.

• Proceedings of the Korean Nuclear Society Conference
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• 1997.05a
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• pp.207-212
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• 1997

영광2호기에 설치되어있는 노내 중성자속 감시 계통 설비인 기계식 인출제한 스위치(Withdrawl Limit Switch)의 구조적인 결함을 제거하기 위한 원인 분석 및 개선과정에 중점을 두었다. 기계제어방식의 구조적 결함은 검출기(Detector)가 노심의 중성자속(Neutron Flux)을 측정하기 위해 구동기의 수동 혹은 자동운전시 검출기 안내관에 삽입 인출이 반복 수행되면서 물리적 또는 환경적요인에 의한 레버의 휘어짐으로 접촉위치의 변경이 발생하는 것을 의미한다. 콘솔내 다수의 마이크로-프로세서(Multiple-Microprocessors)에 의한 구동기(Drive Unit) 동작으로 노심내 3차원 중성자속 분포를 측정할 수 있는 유일할 설비로써 본 계통은 그동안 관련 보수작업 및 설비개선에도 불구하고 근본문제점이 해소되지 못한 가운데 여러차례의 설계, 모의시험을 거쳐 인출제한스위치 제어 방식을 기계식에서 전자식으로 개선, 대체하여 시험 및 운전해 본 결과 근본적 결함원인이 해결되었음을 확인하였다.

• Applied Microscopy
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• v.35 no.4
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• pp.64-73
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• 2005

In this paper we discussed in details how to determine the nature of dislocations in a crystal such as a Burgers vector, the line vector of dislocation and the associated slip plane, using LACBED and usual imaging techniques. These techniques basically involve the application of Cherns and Prestone s rules, the simulations of LACBED patterns with a certain form of the dynamical diffraction theory. The theoretical aspects including necessary approximations for calculations also were in details discussed. As a test specimen for experiments, the foils of a pure aluminum, containing many dislocations with appropriate density for LACBED experiments, were used..

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2009.06a
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• pp.16-16
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• 2009

ZnO($Zn_{1+x}O$)는 n-type 반도성 세라믹스로 우수한 전기적, 광학적, 화학적 특성을 갖고 있어 바리스터, 투명 전도막, 화학 및 바이오 센서, UV light emitter 등 다양한 용도로 사용되고 있다. 또한 ZnO에 각종 천이 금속 산화물을 일정량 첨가함에 따라 발생하는 결함준위와 입계 특성의 변화에 대한 연구가 활발히 진행되고 있다. 다양한 천이 금속 산화물의 첨가에 따른 전기적 광학적 특성의 변화에 대한 결과들이 많이 보고되고 있지만 서로 상충되거나 해석상 다소 어려운 것으로 알려져 있다. 따라서 본 연구에서는 ZnO에 $Cr_2O_3$를 2.0 at% 첨가하여 Cr 첨가에 따른 ZnO의 결함준위와 입계 특성 변화에 대하여 각종 유전함수($Z^*$, $Y^*$, $M^*$, $\varepsilon^*$, and $tan{\delta}$)를 이용하여 고찰하였다 ZnO에 Cr을 첨가할 경우 결함 중 장범위 쿨롱 인력에 의한 결함(0.13~0.18 eV)이 ~100K 영역에서 나타났으며, ZnO 내 결함 중 대표적인 $Zn_j$와 $V_o$는 서로 겹쳐서 나타났다. 이들 중첩된 결함에 대하여 각종 유전함수를 이용할 경우 서로 분리해 낼 수 있는 강점이 있음을 논하였다. 또한 각 결함준위가 강는 정전용랑(C)과 저항(R)을 impedance-modulus spectroscopy를 이용하여 구한 결과, 소결온도가 높아질수록 정전용량은 증가하였으며, 측정온도가 놓아질수록 높아지는 경향을 나타내었다. 입계의 정전용량은 소결온도가 높아질수록 높아 지지만 측정온도가 높아질수록 낮아지는 경향을 나타내었다. 각 저항값은 소결온도 및 측정온도가 높아질수록 지수적으로 감소하였다. 또한 분포함수를 이용하여 입계 안정성에 대하여 고찰하였다.

• Journal of the Korean Society for Nondestructive Testing
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• v.27 no.2
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• pp.97-104
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• 2007

An investigation has been made on the relationship between characteristics of Acoustic Emission (AE) signal in welding flaw and the stress corrosion defect in-service for the high pressure pipe steel. In order to tackle the problem of welding flaw in high pressure pipe, specimens were made by the aid of the application of both corrosion liquid usage and a quenching method after local heating. The amplitude of signal was $60{\sim}75\;dB$ in the territory which is suspected for defect, and the specimens which only have welding flaw showed gradients of 0.034, 0.034, 0.035. Moreover, there is a certain increase in gradient even though the differences are very slight. That is, corrosion specimens showed new gradients of 0.040, 0.039, 0.041 which put welding flaw and corrosion mechanism together. After pressurizing 3 minutes, AE signal has been detected from welding flaw easily in each part of the section. It is possible to predict the occurrence and also prevent the damage of stress corrosion crack which has characteristics of cleavage fracture.

• Journal of the Korean Vacuum Society
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• v.21 no.5
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• pp.242-248
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• 2012

Valence band of a vacuum-reduced $TiO_2$ (001) surface has been carefully examined using synchrotron x-ray photoelectron spectroscopy to investigate variation of the gap state upon oxidation and thermal diffusion of $Ti^{3+}$ interstitials from the bulk. We compare our results with that obtained from $TiO_2$ (110) and aim to address a crystal-face dependency in the oxidation and diffusion rates of $Ti^{3+}$ interstitials. We find very similar behaviors in the oxidation and thermal diffusion rate of $Ti^{3+}$ interstitials between the two crystal faces suggesting a negligible crystal-face dependency in this case.

• Journal of the Korean Society for Nondestructive Testing
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• v.35 no.5
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• pp.321-331
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• 2015

A study on the application of cooling defect detection was performed on the basis of a preceding study on the heated defect detection in nuclear piping loop system, using lock-in infrared thermography. A loop system with piping defects was made by varying the wall-thinning length, the circumference orientation angle, and the wall-thinning depth. The test was performed using an IR camera and a cooling device. Distance between the cooling device and the target loop system was fixed at 2 m. For analyzing experimental results, the temperature distribution data for cooling, and phase data were obtained. Through the analysis of this data, the defect length was measured. The reliability of the measurements for cooling defect conditions was shown to be higher in the lock-in infrared thermography data than the infrared thermography data.

• Journal of the Korean Society for Nondestructive Testing
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• v.30 no.2
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• pp.91-97
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• 2010

This paper proposes method to evaluate the location and size of the internal defects of metallic specimens by the shearing phase lock-in infrared thermography. Until now, infrared thermography test for metal specimen of STS304 and Cu-Zn were conducted to find the best test conditions. However, In unspecified situation of the form and existence of defects, there was a disadvantage to takes a long time for finding the optimal experimental conditions. The defect detection and evaluation was performed at 60 MHz signal using lock-in and shearing-phase method under limited heating conditions. By shearing-phase distribution method, Defects for the maximum, minimum and zero points were quantitatively detected at the size and location of the subsurface. As results, application of the proposed technique was verified for STS304 and Cu7-Zn3 with artificial defect and factors affected defect evaluation were searched and analyzed.