• 전기학회논문지P
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• 제58권2호
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• pp.136-141
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• 2009

An AC generator is an important components in producing a electric power and so it requires highly reliable protection relays to minimize the possibility of demage occurring under fault conditions. Conventionally, a DFT based RDR has been used for protecting the generator stator winding. However, when DFTs based on Fourier analysis are used, it has been pointed out that defects can occur during the process of transforming a time domain signal into a frequency domain one which can lead to loss of time domain information. This paper proposes the internal fault detection and fault type discrimination for the stator winding by applying the detailed coefficients by Daubechies Wavelet Transform to overcome the defects in the DFT process. For the case studies reported in the paper, a model system was established for the simulations utilizing the ATP, and this verified the effectiveness of the proposed technique through various off-line tests carried out on the collected data. The propose method is shown to be able to rapidly identify internal fault and did not operate a miss-operation for all the external fault tested.

• 대한전기학회논문지:전력기술부문A
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• 제48권8호
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• pp.924-931
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• 1999

Most conventional protection relays are based on processing information in the spectrum that is close to or at power frequency. It is, however, widely known that faults on transmission lines produce frequency components of a wide range. High frequency signals caused by sudden changes in system voltage that occurs in the immediate post-fault period are generally outside the bandwidth of receptibility of most protection scheme. In this respect, a specially designed stack tuner is connected to the coupling capacitor of CVT, in order to capture the high frequency signals. Digital signal processing is then applied to the captured information to determine whether the fault is inside or outside the protected zone, and to discriminate the fault type. In this paper, modal transform is not applied to fault generated signals, because signals which are converted by modal transform are not have an information of each phase any longer. Instead, using peak voltage value of data windows is able to discriminate fault type. The paper concludes by presenting fault detection and discrimination of various faults on transmission line which are based on extensive simulation studies carried out on a typical 154kV Korean transmission line, using the EMTP software.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2003년도 추계학술대회 논문집 전력기술부문
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• pp.412-415
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• 2003

It is important to classily fault types, discriminate fault section and calculate the fault location by any detecting technique for combined transmission lines. This paper proposes the technique to classily the fault types and fault section using neuro-fuzzy systems. Neuro-fuzzy systems are composed of three parts to perform different works. First, neuro-fuzzy system for fault type classification is performed with approximation coefficient of currents obtained by wavelet transform. The second neuro-fuzzy system discriminates the fault section between overhead and underground with detail coefficients of voltage and current. The last neuro-fuzzy system calculates the fault location with impedance in this paper, neuro-furry system shows the excellent results for classification of fault types and discrimination of fault section.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2003년도 하계학술대회 논문집 A
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• pp.534-536
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• 2003

It is important to classily fault types and discriminate fault section by any detecting technique for combined transmission lines. This paper proposes the technique to classify the fault types and fault section using neuro-fuzzy systems. Neuro-fuzzy systems are composed of two parts to perform different works. First, neuro-fuzzy system for fault type classification is performed with approximation coefficient of currents obtained by wavelet transform. Another neuro-fuzzy system discriminates the fault section between overhead and underground with detail coefficients of voltage and current. In this paper, neuro-fuzzy system shows the excellent results for classification of fault types and discrimination of fault section.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 하계학술대회 논문집 A
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• pp.384-387
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• 2004

The direction and the type of a fault on a transmission line need to be identified rapidly and correctly, The work described in this paper addresses the problem encountered by a conventional algorithm in a fault type classification in double circuit line, this arises due to a mutual coupling and CT saturation under the fault condition. We present an approach to identify fault type with novel neural network on double circuit transmission line. The neural network based on combined unsupervised training method provides the ability classify the fault type by different patterns of the associated voltages and currents.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1999년도 하계학술대회 논문집 C
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• pp.1376-1378
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• 1999

Most conventional protection relays are based on processing information in the spectrum that is close to or at power frequency. It is, however, widely known that faults on transmission lines produce frequency components of a wide range In this respect, this paper describes the basis of a Protection technique for transmission lines which utilises high-frequency components. Fault-generated signals caused by post-fault and the signal derived from stack tuner is connected to the coupling capacitor of CVT. Digital signal processing is then applied to the captured information to determine whether the fault is inside or outside the Protected zone, and to discriminate the fault type on transmission line.

• 전기학회논문지
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• 제61권12호
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• pp.1801-1806
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• 2012

This paper presents a simple and practical method which enables to prevent malfunction of protection relay due to differential current caused by one end CT saturation in case of external fault. This method uses difference of magnitude(instantaneous value) between the both end current just before the occurrence of differential current without a separate method to CT staturation detection. One end CT saturation is simulated by current transformer model using type-96 component and the presented method is verified by using EMTP MODELS with respect to internal and external fault with one end CT staturation. The presented method distinguished rightly bewteen external and internal fault with one end CT saturation. This information can be used to prevent malfunction of current differential protection relay in case of external fault. And this method is not affected by sampling rate and has no calculation burden, so it will be applicable to differential current protection relay with ease.

• Smart Structures and Systems
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• 제14권3호
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• pp.377-395
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• 2014

Vibration-based fault detection and condition monitoring of rotating machinery, using statistical process control (SPC) combined with statistical pattern recognition methodology, has been widely investigated by many researchers. In particular, the discrete wavelet transform (DWT) is considered as a powerful tool for feature extraction in detecting fault on rotating machinery. Although DWT significantly reduces the dimensionality of the data, the number of retained wavelet features can still be significantly large. Then, the use of standard multivariate SPC techniques is not advised, because the sample covariance matrix is likely to be singular, so that the common multivariate statistics cannot be calculated. Even though many feature-based SPC methods have been introduced to tackle this deficiency, most methods require a parametric distributional assumption that restricts their feasibility to specific problems of process control, and thus limit their application. This study proposes a nonparametric multivariate control chart method, based on multiscale wavelet scalogram (MWS) features, that overcomes the limitation posed by the parametric assumption in existing SPC methods. The presented approach takes advantage of multi-resolution analysis using DWT, and obtains MWS features with significantly low dimensionality. We calculate Hotelling's $T^2$-type monitoring statistic using MWS, which has enough damage-discrimination ability. A bootstrap approach is used to determine the upper control limit of the monitoring statistic, without any distributional assumption. Numerical simulations demonstrate the performance of the proposed control charting method, under various damage-level scenarios for a bearing system.

• 자원환경지질
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• 제41권3호
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• pp.299-314
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• 2008

북동 방향의 호남전단대는 한국의 옥천대 남쪽 경계와 선캠브리아기 영남육괴 사이를 지나는 광역적인 우수향 주향 이동 단층대로 동아시아의 두드러진 지나 변형의 방향과 평행하다. 이 논문에서는 호남전단대의 한 지류인 예천전단대 명호지역의 선캠브리아기 압쇄 석영-백운모 편마암과 엽리상 각섬석-흑운모 화강암의 지화학 및 Nd-Sr 동위원소자료를 보고하고자 한다. 엽리상 각섬석-흑운모 화강암류를 $SiO_2$ 대 $Na_2O+K_2O$의 분별도에 도시하면 $SiO_2$의 함량은 61.9-67.lwt% 그리고 $Na_2O+K_2O$의 함량은 5.21-6.99wt%로 화강섬록암 영역에 대부분이 점시된다. 선캠브리아기 압쇄 석영-백운모 편마암은 화강암의 영역에 점시된다. $SiO_2$에 대한 수정된 알칼리-라임 지수 및 Fe#($FeO_{total}/(FeO_{total}+MgO)$)에 의한 관계도에서 엽리상 각섬석-흑운모 화강암류는 캘크-알카리 계열의 마크네슘 성분이 우세한 코딜러리안(Cordilleran)형 중생대 화강암류의 지화학 특징과 잘 부합된다. 또한 이들 암석들은 $Al_2O_3/(CaO+Na_2O+K_2O)$가 $0.89{\sim}1.10$로 중알루미나에서 약한 고알루미나질의 I형에 해당한다 하지만, 원남층의 압쇄 편마암은 $1.11{\sim}1.22$의 과알루미나질을 보여준다. 연구지역 엽리상 각섬석-흑운모 화강암류 및 압쇄 편마암류의 미량원소 성분을 초생맨틀(Primitive mantle) 값으로 규격화한 거미 성분도상에서는 저장력 원소(large ion lithophile element)이며 불호정성 원소인 Rb, Ba, Th 및 U이 부화되어 있고 Ta, Nb, P, Ti 가 상대적으로 다른 원소보다 결핍되어 있으며 이러한 지화학적 특징은 호상형(Arc-type) 화강암류와 전형적인 활동성 대륙연변부의 지각물질로부터 유래한 화강암류와 유사하다. ${\varepsilon}_{Nd}(T)$와 Sr 초생값은 엽리상 각섬석-흑운모 화강암류가 상부지각의 기원물질로부터 형성된 마그마로부터 생성되었음을 지시해 주고 있다. 연구지역을 포함한 영주저반의 엽리상 각섬석-흑운모 화강암류는 전단대에서 멀어지면서 변형에 의한 특정 원소들(Ti, P, Zr, V 및 Y)의 변화경향이 관찰되지 않는다. 이러한 원인으로, 많은 유체를 가지고 있는 엽리상 각섬석-흑운모 화강암류에서는 전단운동 변형동안 전단대 내와 외부의 유체의 흐름에 의한 질량 전달이 동일하게 일어나 암석 내의 부피변화 및 지화학 변질들을 야기 시키지 않았을 것으로 추정된다.