• 전기학회논문지
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• 제66권1호
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• pp.203-210
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• 2017

In this paper, we propose a electrical/mechanical method to effectively diagnose the local deterioration of a 10m long power shielded twist pair cable defined by the American Wire Gauge (AWG) 14 specification using electrical/mechanical methods. The rapid deterioration of the cable proceeded by using the heating furnace, which is based on the Arrhenius equations proceeds from 0 to 35 years with the deteriorated equivalent model. In this paper, we introduce a method to diagnose the characteristics of locally deteriorated cable by using $S_{21}$ phase and frequency change rate measured by vector network analyzer which is the electrical diagnostic method. The measured $S_{21}$ phase and rate of change of frequency show a constant correlation with the number of years of locally deteriorated cable, thus it can be useful for diagnosing deteriorated cables. The change of modulus due to deterioration was measured by a modulus measuring device, which is defined by the ratio of deformation from the force externally applied to the cable, and the rate of modulus change also shows a constant correlation with the number of years of locally deteriorated cable. Finally, By combining the advantages of electrical/mechanical diagnostic methods, we can efficiently diagnose the local deterioration in the power shielded cable.

• 대한자원환경지질학회:학술대회논문집
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• 대한자원환경지질학회 2007년도 춘계 지질과학기술 공동학술대회
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• pp.460-462
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• 2007

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• 한국지능시스템학회논문지
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• 제25권1호
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• pp.57-62
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• 2015

본 논문에서는 전기설비들의 신속하고 효율적인 진단을 위해 차 영상을 통한 퍼지 추론 기반 열화 진단 시스템을 설계한다. 전기 기기의 열화 진단이 시작 되면 처음 정상 상태의 온도와 비교하여 이상 영역을 검출한다. 검출된 영역은 퍼지 추론 알고리즘을 사용하여 열화를 진단한다. 퍼지 추론 알고리즘에서, 퍼지 규칙은 If-then형식으로 정의되고, look-up 테이블로 규칙을 표현한다. 온도와 온도의 변화량을 입력 변수로 사용한다. 입력변수의 퍼지수를 표현하기 위해 삼각형 멤버쉽 함수를 사용하였으며, 출력변수에는 singleton 멤버쉽 함수를 사용하였다. 최종 출력은 퍼지 추론 방법의 무게 중심법을 사용하여 계산한다. 전기 설비로부터 취득한 실험 데이터는 제안된 시스템의 성능을 평가하기 위하 사용한다.

• 한국구조물진단유지관리공학회 논문집
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• 제20권4호
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• pp.77-83
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• 2016

근래에 송전철탑의 수명연장과 유지관리 비용 절감을 위한 관심이 증가하고 있다. 그러나 송전철탑 부재의 부식 열화도를 진단하는 재래적인 방법으로서 육안점검은 점검자 개인의 지식과 경험의 차이에 따라 오류를 야기하는 문제점을 내포하고 있다. 이러한 문제를 해결하기 위하여, 본 연구에서는 송전철탑 강 부재에 대한 부식열화 검사장비를 개발하였다. 개발된 검사장비는 부식열화 영상 촬영장치 및 컴퓨터 기반 진단 시스템으로 구성된다. 영상처리에 적합한 열화영상을 확보하기 위하여 촬영장치를 개발하여 촬영방법을 표준화하였으며, 진단 시스템은 RGB 컬러영상처리 기법에 기초하여 송전철탑 부재의 부식 열화도를 자동적으로 평가하도록 설계하였다. 개발된 부식열화 검사장비는 송전철탑 부식에 대한 최적 유지보수 시기를 결정하는 것에 도움이 될 것으로 기대된다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2004년도 추계학술대회 논문집
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• pp.557-562
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• 2004

The deterioration of a shunting locomotive was characterized for the lifetime assessment. The locomotive has been used for shunting works in steel making processes, and in this investigation, various types of technical evaluation methods for the locomotive parts were employed to assess the current deterioration status and to provide important clue for lifetime prediction. Unlike other rolling stocks in railway applications, the diesel shunting locomotive is composed of major components such as diesel engine, transmission, gear box, brake system, electronic devices, etc. In this paper, the analysis results of running performance assessment have been used to provide the critical information for the criteria of precision diagnosis assessment.

• 대한전기학회논문지:전력기술부문A
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• 제48권3호
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• pp.184-189
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• 1999

In this paper, we develope a diagnosis device for ZnO arrester by detecting the leakage current in service. To diagnose the deterioration of ZnO arrester, the device detects the total leakage current which flows between an arrester and ground, and analyzes the resistive current(third harmonic current) which is an indicator of deterioration of ZnO arrester. We use the optical cable which can transfer a detected data without a noise, also use a microprocessor for a data storage, processing, and trend analysis. Experiment are executed to verify its performance in laboratory and the results show that the diagnosis device exactly detects the total leakage current and the resistive current, so it can diagnose the deterioration of ZnO arrester. Also the leakage current of ZnO arrester is detected using the developed diagnostic device in field, these results are presented.

• Industrial Engineering and Management Systems
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• 제4권2호
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• pp.192-197
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• 2005

Among many amplitude parameters, Kurtosis (4-th normalized moment of probability density function) is recognized to be the sensitive good parameter for machine diagnosis. Kurtosis has a value of 3.0 under normal condition and the value generally goes up as the deterioration proceeds. In this paper, simplified calculation method of kurtosis is introduced for the analysis of impact vibration with one sided affiliated impact vibration which occurs towards the progress of time. That phenomenon is often watched in the failure of such as bearings’ outer race. One sided affiliated impact vibration is approximated by one sided triangle towards the progress of time and simplified calculation method is introduced. Varying the shape of one sided triangle, various models are examined and it is proved that new index is a sensitive good index for machine failure diagnosis. Utilizing this method, the behavior of kurtosis is forecasted and analyzed while watching machine condition and correct diagnosis is executed.

• 조명전기설비학회논문지
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• 제25권8호
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• pp.30-38
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• 2011

This paper proposes a new intelligent diagnosis equipment for the partial discharge, which keeps deteriorating the insulating materials inside electric machineries, ultimately leading to electrical breakdown. In order to simulate experimentally the partial discharge inside the electric machinery, the tip-to-plate, the sphere-to-plate, the sphere-to-sphere and the plate-to-plate electrodes are used respectively, of which the gaps are 1[mm], 3[mm] or 5[mm] and the applied voltages are 3[kV], 5[kV] or 7[kV]. Ceramic coupler sensor and FIR digital filter are used to measure the partial discharge and the artificial neural network is used for the deterioration diagnosis of the electric machinery. The microprocessor of PD diagnosis equipment is DSP (TMS320C6713) with FPGA (Cyclone II). The results of the real-time and on-line experiments performed with the developed equipment are also explained.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2001년도 추계종합학술대회
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• pp.367-370
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• 2001

본 논문에서는 누설전류 파고분석을 이용한 전력선비의 새로운 열화 진단법을 제안하였다. 현재까지 여러가지 열화 진단법이 제안되었으며, 평가요소로 누설전류의 크기만을 이용하는 것이 일반적이었다. 본 연구에서는 피뢰기, 케이블 등의 전력설비들이 열화가 진전됨에 따라 누설전류의 파고분포도 크게 달라짐을 알 수 있었다. 따라서 전력설비의 열화진단에 누설전류의 파고분포를 이용하면 기존의 누설전류의 크기만을 이용하는 방법보다 더 정확한 평가가 가능하다. 피뢰기, 케이블을 이용한 여러 가지 적용실험으로부터 제안한 열화 진단법은 충분한 성능이 있음을 확인하였다.

• 대한전기학회논문지:전기물성ㆍ응용부문C
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• 제51권4호
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• pp.152-157
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• 2002

This paper describes an effect of a single- and a quadruple-lightning impulse currents on electrical characteristics of ZnO blocks, and an expert system to diagnose arrestor deterioration. To deduce the parameters needed for diagnosing arrester deterioration, an accelerate deterioration teat is carried out. In the experiment, leakage current components are measured. Also, wave height distribution of the leakage current according to the progress of arrester deterioration is analyzed. From the experimental results, the wave height distribution of the leakage current showed conspicuous difference even in an immaterial leakage current increase. Therefore, the use of wave height distribution of the leakage current in deterioration diagnostic technique makes more accurate diagnosis than the conventional method by using only a leakage currant value. Finally, the expert system based on the experimental results is developed and the system can diagnose arrestor deterioration by measuring the leakage current and its wade height distribution.