• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.1782_1783
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• 2009

Reflectometry that has been used to localize faults on a cable is introduced. One of the key point of reflectometry is finding time delay between the incident and reflected signals. In this paper, we propose new reflectometry that use Gaussian enveloped linear chirp signal, and use Kalman filter to estimate frequency rate parameter of the chirp signal. From the estimated frequency rate parameter, we can measure the time delay. In a simulation assuming open ended cable, the proposed method is proved to give a good estimation results.

• Proceedings of the KIEE Conference
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• 2005.07a
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• pp.578-579
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• 2005

HVDC(High Voltage Direct Current) is an underwater cable between Jeju Island and Haenam in main land and supplies approximately 50% of electrical usage in Jeju Island. If there is any power failure due to HVDC, it will cost approximately 50,000 US dollars per day including Thermal Electrical Generation. Therefore it is absolutely necessary to recover the problem in rapid timely basis. In conclusion, new method and new systems(ULTRA #44 Model) are needed urgently to upgrade current HVDC underwater cable survey technique in Korea to minimize the cost and time factors.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.164-167
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• 2007

Architectural Perspective라 함은 요구되는 품질의 특성이 시스템에 잘 반영되도록 하기 위한 활동, 전략 및 가이드라인을 정의한 것으로써, 다양한 관점에 바라보는 시스템에 대한 뷰(View)에 품질 속성을 반영하도록 하기 위한 것이다. 본 연구에서는 임베디드 소프트웨어의 유지보수 측면에서의 품질 향상을 위한 Maintainability Perspective를 제시한다. 제시하고자 하는 Perspective는 고장(failure)으로 인한 결함의 탐지성에 주안점을 두었으며, 이에 대한 아키텍처 패턴을 정의하였다. 정의된 패턴은 소프트웨어 아키텍처 개발에 적용하도록 함으로써, 임베디드 소프트웨어의 유지보수에 대한 품질 속성을 향상시키도록 하였다.

• Journal of Institute of Control, Robotics and Systems
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• v.20 no.11
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• pp.1131-1135
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• 2014

This paper proposes the enhanced faulty node detection scheme with hybrid algorithm using Markov-chain model on BCH (Bose-Chaudhuri-Hocquenghem) code in naval distributed control networked systems. The probabilistic model-driven approach, on Markov-chain model, in this paper uses the faulty weighting interval factors, which are based on the BCH code. In this scheme, the master node examines each slave-nodes continuously using three defined states : Good, Warning, Bad-state. These states change using the probabilistic calculation method. This method can improve the performance of detecting the faulty state node more efficiently. Simulation results show that the proposed method can improve the accuracy in faulty node detection scheme for real-time naval distributed control networked systems.

• Journal of the Korean Institute of Telematics and Electronics
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• v.25 no.8
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• pp.906-915
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• 1988

The reliability enhancement is the critical issue in many computer applications, particulary in process control system. In this paper we describe how to achieve the reliability improvement in control system which is based on multiprocessors. The proposed method is accomplished by using the techniques of fault detection which composed by internal and external fault detections, fault isolation for removing the fault propagation, safety action for driving safe input, and fault diagnosis. This approach is experimented and asopted in boiler backup control system constructed by VMEbus system, CPU boards, graphic system, and other interface boards with UNIX operating system.

• Proceedings of the KIEE Conference
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• 2000.07c
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• pp.1972-1974
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• 2000

In this paper, we made an experiment on fault location of underground cables with travelling wave. The 5C2V coaxial cables of 100, 200m length, connected with discharge gap, are used for simplifying model cable lines of power cable. And 100KHz -2MHz CT and HV probe are installed at one side of the ends. We made travelling pulse in discharge gab and then pulse travelled along the cable to the both ends. Therefore, it is detected in CT and HV probe. Measuring the time difference of the pulse start and arrival, we were able to obtain the distance of pulse travelling. Consequently, our experimental results show the possibility to detect fault location of underground cables with travelling wave.

• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.2
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• pp.1-11
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• 2017

In this paper, we design and implement PADIL(Prediction And Detection of Information Leakage) system that predicts and detect information leakage behavior of insider by analyzing network traffic and applying a variety of machine learning methods. we defined the five-level information leakage model(Reconnaissance, Scanning, Access and Escalation, Exfiltration, Obfuscation) by referring to the cyber kill-chain model. In order to perform the machine learning for detecting information leakage, PADIL system extracts various features by analyzing the network traffic and extracts the behavioral features by comparing it with the personal profile information and extracts information leakage level features. We tested various machine learning methods and as a result, the DecisionTree algorithm showed excellent performance in information leakage detection and we showed that performance can be further improved by fine feature selection.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.2
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• pp.28-35
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• 2019

Since guided missiles with the characteristics of the one-shot system remain stored throughout their entire life cycle, it is important to maintain their storage reliability until the launch. As part of maintaining storage reliability, period of preventive test is set up to perform preventive periodic test, in this case failure detection rate has a great effect on setting up period of preventive test to maintain storage reliability. The proposed method utilizes failure rate predicted by the software on the basis of MIL-HDBK-217F and failure mode analyzed through FMEA (Failure Mode and Effect Analysis) using data generated from the actual field. The failure detection rate of using the proposed method is applied to set periodic test of the actual guided missile. The proposed method in this paper has advantages in accuracy and objectivity because it utilizes a large amount of data generated in the actual field.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.871-874
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• 2009

수천 개의 센서 노드들이 센서 필드에 전개되어 있는 경우에 센서 노드의 상태를 효율적으로 관리하는 것은 매우 중요한 기술이다. 본 논문에서는 기본적으로 PEGASIS 라우팅 알고리즘을 이용하여 노드들 간의 상대 거리 정보를 수집하여 센서 노드의 위치 정보를 탐지하고 이를 이용하여 임의의 노드가 고장이 났을 경우, 데이터 전송을 원활히 하기 위한 최적의 재라우팅을 설정하는 방법을 제시하고자 한다.

• Journal of the Korea Society for Simulation
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• v.18 no.3
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• pp.103-112
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• 2009

In a nuclear power plant (NPP), periodic sensor calibrations are required to assure sensors are operating correctly. However, only a few faulty sensors are found to be calibrated. For the safe operation of an NPP and the reduction of unnecessary calibration, on-line calibration monitoring is needed. In this paper, principal component-based Auto-Associative support vector regression (PCSVR) was proposed for the sensor signal validation of the NPP. It utilizes the attractive merits of principal component analysis (PCA) for extracting predominant feature vectors and AASVR because it easily represents complicated processes that are difficult to model with analytical and mechanistic models. With the use of real plant startup data from the Kori Nuclear Power Plant Unit 3, SVR hyperparameters were optimized by the response surface methodology (RSM). Moreover the statistical techniques are integrated with PCSVR for the failure detection. The residuals between the estimated signals and the measured signals are tested by the Shewhart Control Chart, Exponentially Weighted Moving Average (EWMA), Cumulative Sum (CUSUM) and generalized likelihood ratio test (GLRT) to detect whether the sensors are failed or not. This study shows the GLRT can be a candidate for the detection of sensor drift.