• 전기학회논문지
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• 제61권10호
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• pp.1554-1560
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• 2012

In this paper, the even harmonic current(2nd, 4th, 6th, 8th) of the arc fault current and normal current were measured in computer load and analyzed. The BPF with GIC was developed to detection of harmonic, the exact center frequency and a high degree of sharpness could be easily obtained. The total even harmonic distortion due to series arc fault in computer load was 31.2%, this value was increased 3.9 times better than the total even harmonic distortion of normal current. The results of analysis of arc fault current RMS variation rate and Peak variation rate per half-cycle, The RMS average variation rate are as follows ; the 2nd harmonic was 0.24, the 4th harmonic was 0.15, the 6th harmonic was 0.19, the 8th harmonic was 0.25, respectively. The Peak average variation rate are as follows ; the 2nd harmonic was 0.19, the 4th harmonic was 0.12, the 6th harmonic was 0.13, the 8th harmonic was 0.15, respectively. The results of this analysis utilize data to detect of series arc fault on wiring of computer load.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2001년도 춘계학술대회논문집
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• pp.603-608
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• 2001

In order to distinguish fault electric motors automatically in real time. an intelligent diagnosis technique may be required. This paper presents an automatic fault detection system for electric motors by using their acoustic noises. Time signals of each candidate motor were measured in an anechoic chamber for further analysis. Spectral analysis was first carried out and they showed that two typical types of fault motors could be successfully distinguished in the frequency domain; bearing faults and scratches. Unlike the trend of normal motors that shows only a single dominant peak at around 2000 ㎐, several peaks are bunched together in bearing fault motors. On the other hand, large frequency noises at around 6500 ㎐ are newly arisen in scratchy fault motors. However, the processing time for spectral analysis was rather long for a real time application in production lines. Thus, a number of band-pass filters were used in the time domain instead for a real time application. Before applying filters, the bands of filters were set from the information of spectral analysis. By applying a set of band-pass filters, the RMS values of each filtered signal were calculated, and thus the normal and damaged motors could be successfully distinguished.

• 한국초전도저온공학회:학술대회논문집
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• 한국초전도저온공학회 2003년도 학술대회 논문집
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• pp.182-185
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• 2003

Temperature distribution and cooling load in binary current lead are analized, occurring fault current at DC Reactor type superconductor fault current limiter. It is assumed that Normal operating current is 300 A and fault current is 3000 A. Unsteady-state temperature distribution and cooling load of brass current lead optimized for 300 A and 1000 A are calculated by numerical method with TDMA. In the result of calculation, temperature increase in the brass current lead optimized for 300 A is higher than that in the brass current lead optimized for 1000 A, but the temperature increase in the brass current lead optimized for 300 A is not serious. Moreover, increase of cooling load in the brass current lead optimized for 300 A is higher than that in the brass current lead optimized for 1000 A, but normal cooling load in the brass current lead optimized for 300 A is lower than that in the brass current lead optimized for 1000 A. Therefore, designing current lead in superconductor fault current limiter had better to optimize for normal operating current.

• KEPCO Journal on Electric Power and Energy
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• 제1권1호
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• pp.21-27
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• 2015

The goal of this study is the size and distribution of the electromagnetic force generated by the current flowing through the second underground line of 154kV power transmission cables by using electromagnetic finite element analysis. So we interpret how mutually electromagnetic force has an effect on the comparable judgement of Trefoil, Duct and Flat, which shows in a numerical arrangement. 154kV OF 1200SQ Cable 1.281km not only is applicable to modeling for underground transmission cable but also examine the effect of line to line, phase to phase and size and direction of the electromagnetic force preparing for the occurrence of normal state and single-phase earth fault, which are arranged in trefoil, duct and flat formation between sections. As showing how the trajectory, and size distribution of the electromagnetic force translate as the arrangement of the cables when a steady-state current and a fault current flows on the underground cables, I hope that when Underground transmission is designed, this data will be useful information.

• 조명전기설비학회논문지
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• 제24권5호
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• pp.94-105
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• 2010

인버터 구동 영구자석 동기전동기에서 고정자 권선과 인버터 스위치에 고장이 존재할 때 동작 중 실시간으로 고장을 검출하고 고장의 유형을 판별할 수 있는 진단 기법이 제시된다. 제안된 기법은 q축 전류의 2차 고조파를 실시간으로 관찰함으로써 이루어지며 고장이 없는 정상 조건에서의 고조파 데이터와 비교를 통해서 고장을 판별한다. 임의의 정상 동작 조건에서의 고조파 데이터는 선형 보간법을 이용해 구해진다. 고장 검출 시 진단 알고리즘은 고장 유형 판별모드로 전환되어 상전류의 파형 분석을 통해 고장의 유형을 판별한다. 제안된 고장 검출 기법의 타당성을 입증하기 위해 내부 권선 단락이 가능한 전동기가 제작되었으며 전체 시스템과 고조파 분석 및 고장 검출 알고리즘이 DSP TMS320F28335에 의해 구현된다. 제안된 방법은 부가적인 진단 장비를 요구하지 않으며 정상상태 조건이 만족된다면 동작 중 실시간으로 고장을 검출할 수 있다.

• 제어로봇시스템학회논문지
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• 제18권12호
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• pp.1090-1095
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• 2012

In this paper, we propose a model-based fault diagnosis method applied to vibration data. The fault detection is performed by comparing estimated parameters with normal parameters and deciding if the observed changes can be explained satisfactorily in terms of noise or undermodelling. The key feature of this method is that it accounts for the effects of noise and model mismatch. And we aslo design a classifier for the fault isolation by applying the multiclass SVM (Support Vector Machine) to the estimated parameters. The proposed fault detection and isolation methods are applied to an engine vibration data to show a good performance. The proposed fault detection method is compared with a signal-based fault detection method through a performance analysis.

• 예술인문사회 융합 멀티미디어 논문지
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• 제8권3호
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• pp.571-578
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• 2018

노후된 배관은 예기치 못한 누수나 균열을 발생시킨다. 이를 방치하거나 늦게 대응하면 지속적인 가스자원, 수자원 등의 막대한 손실을 발생시킨다. 본 논문에서는 배관의 결함을 검출하기 위해 음향방출 신호를 사용하는 배관 조기 결함 검출 방법과 진단 알고리즘을 제안한다. 배관의 결함으로 인해 변형이 생길 경우 배관의 고유진동수가 변화하므로 이를 관찰함으로써 배관의 이상 유무를 판단할 수 있다. 배관 조기결함 검출 방법은 정상상태의 스펙트럼과 취득된 신호의 스펙트럼을 주파수 성분의 크기에 대해 비교함으로써 배관의 결함 유무를 판단한다. 배관 조기 결함 진단 알고리즘은 정상상태와 결함상태를 기계학습 알고리즘인 서포트 벡터 머신(SVM)으로 학습하고 실제 취득된 배관 음향방출 신호를 입력하여 배관 상태를 진단한다. 실험에서는 제작된 배관 테스트베드를 사용하여 정상상태, 5mm 균열 상태, 10mm 균열 및 파공 상태를 가공하여 제안 방법을 테스트하였다. 실험 결과에서는 제안한 검출 방법 및 진단 알고리즘의 배관 조기 결함 검출 성능의 우수성을 검증하였다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년도 추계학술대회 논문집 전력기술부문
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• pp.399-401
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• 2006

This paper proposes a synchronous generator protection algorithm using Discrete Wavelet Transform for detection of fault currents. The proposed technique is implemented by using the C language and the Wavemenu of MATLAB Toolbox, and consists of normal state and internal fault state. The effectiveness of proposed method is demonstrated by MATLAB simulation package for synchronous generator, which collects the balanced and unbalanced fault currents through simulation.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1998년도 하계학술대회 논문집 G
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• pp.2272-2274
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• 1998

This paper presents recognition and classification of high impedance fault(HIF) patterns in the electrical power systems based on chaotic features. Chaotic features are obtained from two dimensional chaos attractors reconstructed from fault current waveform. The RBFN is trained with the two types of HIF data generated by the electromagnetic transient program and measured from actual faults. The RBFN successfully classifies normal and the three types of fault patterns based on the binary chaotic features.

• 전력전자학회논문지
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• 제15권3호
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• pp.167-178
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• 2010

영구자석 동기전동기에서 고정자 권선의 단락으로 인해 발생하는 권선 고장을 동작 중 실시간으로 검출할 수 있는 고장 진단 기법을 제시한다. 제안된 기법은 고조파 분석을 통해 q축 전류의 2차 고조파를 관찰함으로서 이루어지며 고장이 없는 정상 조건에서의 고조파 데이터와 비교를 통해서 고장을 판별한다. 임의의 정상 동작 조건에서의 고조파 데이터는 선형 보간법과 몇 개의 사전 측정된 고조파 데이터를 통해서 구해진다. 제안된 고장 검출 기법의 타당성을 입증하기 위해 내부 고정자의 권선 단락이 가능한 전동기가 제작되었으며 전체 구동 시스템과 고조파 분석 알고리즘 및 고장 검출 알고리즘이 DSP TMS320F28335에 의해 구현되어 실험이 수행된다. 제안된 방법은 부가적인 진단 장비를 필요로 하지 않으며 정상 상태 조건만 만족된다면 동작 중 실시간으로 고장을 검출할 수 있다.