• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2015년도 제46회 하계학술대회
• /
• pp.357-358
• /
• 2015

본 논문에서는 고온 초전도 케이블 고장점 탐지를 위해 시간-주파수 반사파 계측법(Time-Frequency Domain Reflectometry)을 적용하여 EMTP 시뮬레이션을 수행하고, 고온 초전도 케이블에 적합한 가우시안 첩 포락선 선형 기준 신호를 제시하였다. 고온 초전도 케이블을 EMTP로 모델링하여 TFDR 기법을 통해 케이블의 종단점을 추정하고 기준 신호의 전파 속도를 계산하였다. EMTP를 활용하여 국부적 결함이 발생한 고온 초전도 케이블을 모델링하였고, 결함 발생 케이블의 고장점 탐지 시뮬레이션 결과를 확인하였다.

• 한국정보처리학회논문지
• /
• 제7권5호
• /
• pp.1330-1340
• /
• 2000

멀티미디어는 현재 다양한 실세계의 분야에 적용되고 있다. 특히 멀티미디어 시스템을 위한 컴퓨터 협동 직업 환경에 대한 관심이 점차로 고조되고 있다. 그러나, 이러한 현재의 방향에도 불구하고 컴퓨터 혐동 작업 환경에서의 결합 허용에 대한 진전이 충분하게 이루어지지 못하고 있다. 본 논문에서는 EDR MCSCW를 제안한다. 이 시스템은 소프트웨어 기법을 사용함으로써 두레처험 멀티미디어직업 환경에서의 소프트웨어 오류를 감시하고 복구하는데 적합한 시스템이다.두레는 컴퓨터 협동 작업 환경을 우한 멀티미디어 응용에 관한 개발을 지원하기 위한 프레임윅이다. 오류가 발생했을 때 EDR_MCSCW는 윈도우에 있는 API함수에 있는 축 방법을 사용함으로써 오류를 감시한다. 오류가 발전되면, 스택을 사용함으로써 멀티미니어 공동작업 환경 상에서 복구하기 위하여 도미노 효과를 제거하는 기능을 가지고 있는 김사점과 복고 알고리즘을 제안한다.

• 한국소음진동공학회논문집
• /
• 제21권2호
• /
• pp.146-153
• /
• 2011

Model based machine condition diagnosis methods are generally using a normal and many failure models which need sufficient data to train the models. However, data, especially for failure modes of interest, is very hard to get in real applications. So their industrial applications are either severely limited or impossible when the failure models cannot be trained. In this paper, continuous hidden Markov model(CHMM) with only a normal model has been suggested as a very promising machine condition diagnosis method which can be easily used for industrial applications. Generally hidden Markov model also uses many pattern models to recognize specific patterns and the recognition results of CHMM show the likelihood trend of models. By observing this likelihood trend of a normal model, it is possible to detect failures. This method has been successively applied to arc weld defect diagnosis. The result shows CHMM's big potential as a machine condition monitoring method.

• 한국정밀공학회지
• /
• 제20권4호
• /
• pp.92-102
• /
• 2003

To detect electrical faults of a TFT (Thin Film Transistor) panel for the LCD (Liquid Crystal Display), techniques of converting electric field to an image are used One of them is the PDLC (polymer-dispersed liquid crystal) modulator which changes light transmittance under electric field. The advantage of PDLC modulator in the electric field detection is that it can be used without physically contacting the TFT panel surface. Specific pattern signals are applied to the data and gate electrodes of the panel to charge the pixel electrodes and the image sensor detects the change of transmittance of PDLC positioned in proximity distance above the pixel electrodes. The image represents the status of electric field reflected on the PDLC so that the characteristic of the PDLC itself plays an important role to accurately quantify the defects of TFT panel. In this paper, the image of the PDLC modulator caused by the change of electric field of the pixel electrodes on the TFT panel is acquired and how the characteristics of PDLC reflect the change of electric field to the image is analyzed. When the holding time of PDLC is short, better contrast of electric field image can be obtained by changing the instance of applying the driving voltage to the PDLC.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제11권1호
• /
• pp.396-413
• /
• 2017

Dynamically checking the integrity of software at run-time is always a hot and difficult spot for trusted computing. Control-flow integrity is a basic and important safety property of software integrity. Many classic and emerging security attacks who introduce illegal control-flow to applications can cause unpredictable behaviors of computer-based systems. In this paper, we present a software-based approach to checking violation of control flow integrity at run-time. This paper proposes a high-performance and low-overhead software control flow checking solution, control flow checking at virtual edges (CFCVE). CFCVE assigns a unique signature to each basic block and then inserts a virtual vertex into each edge at compile time. This together with insertion of signature updating instructions and checking instructions into corresponding vertexes and virtual vertexes. Control flow faults can be detected by comparing the run-time signature with the saved one at compile time. Our experimental results show that CFCVE incurs only 10.61% performance overhead on average for several C benchmark programs and the average undetected error rate is only 9.29%. Compared with previous techniques, CFCVE has the characteristics of both high fault coverage and low memory and performance overhead.

• 대한설비공학회:학술대회논문집
• /
• 대한설비공학회 2008년도 하계학술발표대회 논문집
• /
• pp.48-53
• /
• 2008

The performances of the building service equipment relay on the individual superintendent's share for the assessment of performance, fault detection, deterioration diagnosis of the building service equipment. A major use of building energy management system(BEMS) is for monitoring plant and building's energy consumption. National building management system (N-BMS) presented in this study links buildings into a network group in order to monitor and control the buildings. How to construct the N-BMS was considered to save energy resource and to conserve performance of building service equipment. The FEMIS, facility, energy/environmental management & information system, for building service offer management process integrated with BAS, FMS and EMS and so on.

• The Journal of the Acoustical Society of Korea
• /
• 제14권2E호
• /
• pp.43-49
• /
• 1995

인공지능(AI)의 한기법인 Space Search 기법을 이용하여 회로의 단선 결함의 유무 및 결함위치를 찾아내는 방법을 제시하였다. 보통 회로의 결함은 단선 및 단락의 구조적 결함으로 나뉘어진다. 두가지 결함 모두 회로의 기능에 중대한 이상을 초래한다. 그중 단선에 의한 회로의 결함에 대하여 다루었다. 우선 회로를 net와 net의 연결 path에 따라 tree 구조로 변환하였다. 서로 독립된 net들은 서로 다른 tree의 node를 이루며 각각의 tree는 적기적으로 연결됨이 없다. 각 tree의 최상단부의 root node에 test vector를 입력하고 최하단부의 leaf node에서 vector를 관찰하여 입력된 test vector와 비교한다. 그 비교 결과 동일 유무에 따라 결함의 유무를 판정한다. 결함이 있다고 판정된 leaf node는 depth search 방법에 의하여 root node쪽으로 test vector를 관찰하여, 전기적 신호에 의하여 회로의 서놔 단선된 위치를 찾아내도록 하는 방법을 제시하였다.

• 전기학회논문지
• /
• 제66권11호
• /
• pp.1669-1674
• /
• 2017

In this study, We have discussed the development of a diagnostic device to detect and prevent electrical fire due to the arc caused by contact failure and partial disconnection at the connection part of the three-phase electric heater wiring used in the industrial field. The arc caused by contact failure and partial disconnection at the connection part of the electric heater shows a change in the current effective value. Therefore, it is possible to determine whether there exists a defect by analyzing the current unbalance factor and the number of current fluctuations with the diagnostic apparatus. The three-phase unbalanced heater is considered to be capable of determining defects through periodic measurement and trend analysis of the current unbalance factor. It is also expected that this device can be used not only for electric heaters but also for detection of defects in wiring and connections of electrical equipment having a characteristic of constant load current.

• International Journal of Control, Automation, and Systems
• /
• 제4권3호
• /
• pp.372-381
• /
• 2006

The purpose of this study was to develop a process management system to manage ingot fabrication and improve ingot quality. The ingot is the first manufactured material of wafers. Trace parameters were collected on-line but measurement parameters were measured by sampling inspection. The quality parameters were applied to evaluate the quality. Therefore, preprocessing was necessary to extract useful information from the quality data. First, statistical methods were used for data generation. Then, modeling was performed, using the generated data, to improve the performance of the models. The function of the models is to predict the quality corresponding to control parameters. Secondly, rule extraction was performed to find the relation between the production quality and control conditions. The extracted rules can give important information concerning how to handle the process correctly. The dynamic polynomial neural network (DPNN) and decision tree were applied for data modeling and rule extraction, respectively, from the ingot fabrication data.

• 조명전기설비학회논문지
• /
• 제24권8호
• /
• pp.55-61
• /
• 2010

본 논문은 클래스 내와 클래스 간의 분산정보를 이용한 주파수 성분의 선택적 추출기법과 PCA-ELM 기반의 유도전동기 고장진단 시스템을 제안한다. 제안된 방법은 취득된 전류신호를 DFT에 의해 주파수 영역으로 변환한 후 분산정보를 이용하여 고장상태별로 차별성이 큰 순서대로 주파수 성분을 추출한다. 다음 단계로 선택된 주파수 성분에 대해서 PCA를 이용하여 고장상태별 특징들을 추출한다. 마지막 단계는 학습속도가 매우 우수한 ELM분류기에 의해 유도전동기의 상태를 진단하게 된다. 다양한 부하에 대하여 몇몇의 전기적 고장과 기계적 고장 하에서 획득한 데이터를 이용하여 제안된 방법의 타당성을 검증한다.