• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.06a
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• pp.121-124
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• 2003

The conventional CNC(Computerized Numerical Controller) of machine tool, which is dependent to CNC maker, was a closed architecture type. Therefore, it is impossible to implement a special user-define function to CNC. But recently, CNC is changed to OAC(Open Architecture Controller) type increasingly and the general function of CNC can be upgrade efficiently. This paper describes web service application for remote monitoring regarding the faults or machine tool with open architecture CNC. The major faults of CNC machine tool can be defined to the operational faults to be charged over 70%. Those faults are unpredictable because of being occurred without any warning. To generalize the fault diagnosis efficiently. two diagnosis models such as SF(Switching Function) and SSF(Step Switching Function) are proposed and the function of fault diagnosis is implemented to internal function of OAC. Also, to service remotely the faults of CNC machine tool. the suitable web environment is proposed and practical function is programmed to evaluate its operation on web.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.1511-1512
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• 2015

자연재해의 특징은 설계불량이나 조작실수 등과 같이 다른 고장과 달리 위험요인을 인위적으로 저감하는 것이 불가능하다. 또한 자연재해는 규모나 양상에 있어서 매우 다양하며 뇌의 경우 위치와 장소에 따라 피해강도는 1,000배 정도 다른 결과를 초래할 수도 있다. 이와 같은 특징을 가진 자연재해를 완전히 예방하는 것은 비현실적이다. 자연재해에 따라 피해는 위험도와 전력시스템의 취약성이 교차하는 영역에서 발생한다. 피해를 저감하기 위해서는 취약성을 감소시키고, 이 교차 영역을 가능한 작게 하는 것이 기본개념이다.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.63 no.11
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• pp.1545-1550
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• 2014

Fault detection and diagnosis (FDD) of photovoltaic (PV) power systems is one of significant techniques for reducing economic loss due to abnormality occurred in PV modules. This paper presents a new FDD method against PV power systems by using statistical comparison. This comparative approach includes deviation signals between the outputs of two neighboring PV modules. We first define a binary hypothesis testing under such deviation and make use of a generalized likelihood ratio testing (GLRT) theory to derive its FDD algorithm. Additionally, a recursive computational mechanism for our proposed FDD algorithm is presented for improving a computational effectiveness in practice. We carry out a real-time experiment to test reliability of the proposed FDD algorithm by utilizing a lab based PV test-bed system.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.48 no.7
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• pp.863-871
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• 1999

While Logic Based Expert System (LBES) has a merit of rapid and complete inference, it also has a defect of huge knowledge base. Hierarchical LBES (HLBES) replaces the assertion time inference of LBES with the multi-level logic minimization procedure, and it guarantees smaller knowledge base comparing with LBES. This paper has two contributions. The one is proposing so-called fact-minimization procedure which reduces not only the number of facts or measured events but also the size of knowledge base dramatically. The other contribution is application of HLBES and the proposed fact-minimization to the fault diagnosis of power system. The application is successfully performed in the example with the transmission system which takes 72 goals and 352 facts.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.50 no.2
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• pp.53-57
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• 2001

This paper presents the new methods of fault diagnosis through multiple alarm processing of protective relays and circuit breakers in power systems using probabilistic neural networks. In this paper, fault section detection neural network (FSDNN) for fault diagnosis is designed using the alarm information of relays or circuit breakers. In contrast to conventional methods, the proposed FSDNN determines the fault section directly and fast. To show the possibility of the proposed method, it is simulated through simulation panel for Sinyangsan substation system in KEPCO (Korea Electric Power Corporation) and the case studies show the effectiveness of the probabilistic neural network mehtod for the fault diagnosis.

• Proceedings of the KIEE Conference
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• 2005.04a
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• pp.238-240
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• 2005

고속철도차량의 국내기술확보를 위해 한국형 고속전철이 개발되어 단품시험, 완성차시험, 공장시험 등을 통해 기본적인 성능을 확인한 후, 현재는 본선시운전 시험을 실시하고 있다. 시제차량의 성능 및 기능을 종합적이고 효율적으로 확인하기 위해 고속철도 시운전 시험시 상시 계측시스템을 시제차량에 설치하여 운영하고 있다. 본 논문에서는 상시계측시스템을 이용하여 보조전원장치에 대한 성능평가와 고장진단을 실시한 것에 대하여 연구하였다.

• Proceedings of the KIEE Conference
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• summer
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• pp.1310-1312
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• 2004

현재, 고속철도차량의 국내기술확보를 위해 한국형 고속전철이 개발되어 단품시험, 완성차시험, 공장시험 등을 통해 기본적인 성능을 확인한 후 현재는 본선시운전 시험을 실시하고 있다. 시제차량의 성능 및 기능을 종합적이고 효율적으로 확인하기 위해 고속철도 시운전시험시 상시 계측시스템을 시제차량에 설치하여 운영하고 있다. 본 논문에서는 상시계측시스템을 이용하여 보조전원장치에 대한 성능평가와 고장진단을 실시한 것에 대하여 연구하였다.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.48 no.1
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• pp.44-51
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• 1999

This paper proposes a new approach of plant fault diagnosis which is based on detecting the characteristic pattern signals and associating them with the corresponding faults. The new approach does not require analytic modeling of the target system but best reflects the expertise embedded in the experienced human operation by mimicking them in a systematic way. This paper intends to illustrate the feasibility of the proposed by developing the algorithms to detect and estimate the typical characteristic pattern signals, I. e., oscillatory patterns, and applying them to the diagnosis of various faults of a 500MW boiler control system including tube rupture, feed-water leak, and controller failure.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2013.10a
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• pp.331-337
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• 2013

Acoustic Emission technique is widely applied to develop the early fault detection system, and the problem about a signal processing method for AE signal is mainly focused on. In the signal processing method, envelope analysis is a useful method to evaluate the bearing problems and Wavelet transform is a powerful method to detect faults occurred on rotating machinery. However, exact method for AE signal is not developed yet. Therefore, in this paper two methods which are Hilbert transform and DET for feature extraction. In addition, we evaluate the classification performance with varying the parameter from 2 to 15 for feature selection DET, 0.01 to 1.0 for the RBF kernel function of SVR, and the proposed algorithm achieved 94% classification accuracy with the parameter of the RBF 0.08, 12 feature selection.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10a
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• pp.433-435
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• 2001

원격 제어 프로그램은 파일전송 관리, 고장난 컴퓨터의 원격 진단 및 A/S, 시스템 관리자의 원격지 컴퓨터관리, 원격 강의 시스템 등 다양한 곳에 이용되고 있다. 본 논문에서는 일대다 접속모델을 지원하는 원격 제어 프로그램의 구조와 동작원리를 기술한다. 여기서 일대다 접속이란 한 컴퓨터의 화면을 원격지에 있는 다수 컴퓨터들이 공유 및 제어하도록 하는 것을 말한다. 또한, 프로그램의 성능에 주요한 요인이 되는 화면 갱신 이벤트 처리와 마우스 움직임 이벤트 처리에 대한 효율적인 방법을 제안한다.