• 제목/요약/키워드: Fault Analysis

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웨이블렛 변환을 이용한 비선형 부하 전원선에서의 직렬 아크고장 신호 분석 (Analysis of Series Arc-Fault Signals Using Wavelet Transform From Non-linear Loads)

  • 방선배;박종연;장목순;최원호
    • 전기학회논문지
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    • 제57권8호
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    • pp.1470-1477
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    • 2008
  • In this paper, a new detection method of series arc-fault signals occurring at the wiring of home appliances is proposed. The discrete wavelet transform was used for the numerical analysis of the variation rate in peak, RMS, noise energy, shoulder of the arc-fault current wave. As a results, the arc distinction threshold value of these variation rates was about 0.1 in most cases. The arc-fault current of the loads with the active PFC circuit showed a high rate of variation in noise energy and shoulder, but arc-fault current of the loads without the active PFC circuit showed a high rate of variation in peak and RMS. The arc fault current in resistive loads showed a high rate of variation in shoulder.

경험기반추론 전략을 이용한 고장트레인 구축 (Fault Train Construction Based on Shallow Reasoning Strategy)

  • 배용환
    • 한국안전학회지
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    • 제20권3호
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    • pp.19-26
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    • 2005
  • There are three reasoning method in fault diagnosis process. The shallow reasoning is based on the experiential knowledge and deep reasoning is based on physical model. Hybrid reasoning is mixing two type reasoning. This study describes about fault train embodiment of screw type air compressor that is used widely in industrial facilities by using various experimental method and shallow reasoning. We investigate macroscopic failure cause of air compressor through naked eye observation and then microscopic failure cause by various experimental method. We composed fault train with fault knowledge based on empirical data and scientific data that is acquired through several experiments. It is possible to analysis system reliability and failure rate with these fault train.

ANALYSIS OF THE CHARACTERISTICS ABOUT GYEONG-GANG FAULT ZONE THROUGH REMOTE SENSING TECHNIQUES

  • Hwang, Jin-Kyong;Choi, Jong-Kuk;Won, Joong-Sun
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
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    • pp.196-199
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    • 2008
  • Lineament is defined generally as a linear feature or pattern on interpretation of a satellite image and indicates the geological structures such as faults and fractures. For this reason, a lineament extraction and analysis using remote sensing images have been widely used for mapping large areas. The Gyeong-gang Fault is a NNE trending structure located in Gangwon-do and Kyeonggi-do district. However, a few geological researches on that fault have been carried out and its trace or continuity is ambiguous. In this study, we investigate the geologic features at Gyeong-gang Fault Zone using LANDSAT ETM+ satellite image and SRTM digital elevation model. In order to extract the characteristics of geologic features effectively, we transform the LANDSAT ETM+ image using Principal Component Analysis (PCA) and create a shade relief from SRTM data with various illumination angles. The results show that it is possible to identify the dimensions and orientations of the geologic features at Gyeong-gang Fault Zone using remote sensing data. An aerial photograph interpretation and a field work will be future tasks for more accurate analysis in this area.

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블록 암호 LEA에 대한 차분 오류 공격 (Differential Fault Analysis of the Block Cipher LEA)

  • 박명서;김종성
    • 정보보호학회논문지
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    • 제24권6호
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    • pp.1117-1127
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    • 2014
  • 차분 오류 공격(Differential Fault Analysis)은 블록 암호 알고리즘의 안전성 분석에 널리 사용되는 부채널 기법 중 하나이다. 차분 오류 공격은 대표적인 블록 암호인 DES, AES, ARIA, SEED와 경량 블록 암호인 PRESENT, HIGHT 등에 적용되었다[1,2,3,4,5,6]. 본 논문에서는 최근 주목 받고 있는 국내 경량 블록 암호 LEA(Lightweight Encryption Algorithm)에 대한 차분 오류 공격을 최초로 제안한다. 본 논문에서 제안하는 LEA에 대한 차분 오류 공격은 300개의 선택적 오류 주입 암호문을 이용하여 $2^{35}$의 시간 복잡도로 128 비트 마스터키 전체를 복구한다. 본 연구의 실험 결과, Intel Core i5 CPU, 메모리 8 GB의 일반 PC 환경에서 수집한 오류 주입 암호문을 이용하여, 평균 40분 이내에 마스터 키를 찾을 수 있음을 확인하였다.

Fuzzy Fault Tree Analysis with Natural Language

  • Onisawa, Takehisa
    • 한국지능시스템학회논문지
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    • 제7권1호
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    • pp.5-15
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    • 1997
  • This paper mentions a fault tree analysis using not probability but natural language and fuzzy theory, Reliability estimate of each basic event and dependence level estimate among subsystems are expressed by linguistic terms. Analysis results are also expressed by natural language. The meaning of linguistic terms is expressed by a fuzzy set. In the presented analysis approach parametrized operations of fuzzy sets are considered so that analyst's subjectivity can be introduced into the analysis. This paper gives the Chernobyl accident as an example of the fuzzy fault tree analysis using linguistic terms.

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Fault Tree Analysis에 의한 첨단설비 Arm 안전사고의 분석 (A Analysis of a Pointed-end Equipment Arm Safety-Accident for Fault Tree Analysis)

  • 윤용구;박범
    • 대한안전경영과학회:학술대회논문집
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    • 대한안전경영과학회 2005년도 춘계학술대회
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    • pp.279-290
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    • 2005
  • The purpose of this study is to attempt a Analysis of a pointed-end Equipment Arm Safety-Accident for Fault Tree Analysis. Three major techniques were used first problem is Z-Model by which accident Analysis & prevention of a pointed-end Industry can be made, Fault Tree Analysis(FTA) bywhich quantification of a pointed-end Equipment accident Analysis can be made it 5 years in past and the third, manual-written by which minimal cut set to accident can be Identified. A example has been made of issue point a pointed-end Equipment that the Arm in loader happen to Injuries. According to the Analysis lack of safety knowledge, unsafety-behavior seem to be the primal cause of accident. Comparision of the accident cause to actual report demonstratesthat the FTA a efficient tool for Industrial Accident prevention.

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추가령단층대의 중력장 데이터 해석 (Expected Segmentation of the Chugaryung Fault System Estimated by the Gravity Field Interpretation)

  • 최승찬;최은경;김성욱;이영철
    • 자원환경지질
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    • 제54권6호
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    • pp.743-752
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    • 2021
  • 추가령 단층대가 발달하는 서울-경기 지역에서 단층의 3차원적인 규모를 확인하기 위해서, 곡률 분석(Curvature analysis)과 오일러 디콘볼루션(Euler deconvolution) 등의 중력장 해석 방법을 이용하여 잔여 중력이상을 해석하였다. 또한 2000년 이후 발생한 진앙과 비교하여 단열 특성을 비교하였다. 부게이상에서 포천단층은 경기 북부에서 서울의 중심부를 지나서 서해안 지역까지 연결된 약 100 km 단층으로 진앙이 빈도가 높아 활성 단층의 가능성이 있고, 단층을 경계로 동서 방향으로 7 km 정도의 변위가 관찰된다. 왕숙천단층은 서울을 중심으로 북동부와 서남부로 분절되어 있으나 지하에서 연결을 암시하는 단층 분절로 추정되는 중력이상대가 관찰된다. 특히 2010년 시흥에서 발생한 규모 3.0의 지진은 남북 방향으로 발달하는 20 km 길이의 단층에 의한 것으로 판단된다. 동두천단층의 서쪽 지역(≒5,500 m)은 중력경계면이 동쪽 지역(≒4,000 m)보다 깊게 나타나며 이는 동두천단층을 중심으로 서쪽 지역과 동쪽 지역의 지구조적인 운동이 다르다는 것을 시사한다. 동두천단층에서 발달한 파쇄대의 최대 깊이는 약 6,500 m이며 연구 지역에서는 가장 깊다. 포천 단층은 약 6,000 m, 왕숙천 단층은 약 5,000 m, 경강 단층은 약 6,000 m 깊이까지 파쇄대가 연장되는 것으로 판단된다.

SSTDR을 이용한 케이블의 접촉 불량 고장 진단 (Diagnosis of Poor Contact Fault in the Power Cable Using SSTDR)

  • 김택희;전정채
    • 전기학회논문지
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    • 제65권8호
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    • pp.1442-1449
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    • 2016
  • This paper proposes a diagnosis to detecting poor contact fault and fault location. Electrical fire by poor contact fault of power cable occupied a large proportion in the total electrical installations. The proposed method has an object to prevent electrical fault in advance. But detecting poor contact fault is difficult to detect fault type and fault location by using conventional reflectometry due to faults generated intermittently and repeatedly on the time change. Therefore, in this paper poor contact fault and fault conditions were defined. System generating poor contact fault produced for the experimental setup. SSTDR and algorithm of reference signal elimination heighten performance detecting poor contact fault on live power cable. The diagnosis methods of signal process and analysis of reflected signal was proposed for detecting poor contact fault and fault location. The poor contact fault and location had been detected through proposed diagnosis methods. The fault location and error rate of detection were verified detecting accuracy by experiment results.

유도전동기의 고정자 전류에 미치는 베어링 고장 영향 분석 (Analysis of the Bearing Fault Effect on the Stator Current of an AC Induction Motor)

  • 김재훈;이동익
    • 제어로봇시스템학회논문지
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    • 제20권6호
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    • pp.635-640
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    • 2014
  • Detection and diagnosis of incipient bearing fault in an induction motor is important for the prevention of serious motor failure. This paper presents an analysis of the effect of a faulty bearing on the stator current of an induction motor. A bearing fault leads to torque oscillations which result in phase modulation of the stator current. Since the torque oscillations cause specific frequency components at the stator current spectrum to rise sharply, the bearing fault can be detected by checking out the faultrelated frequency. In this paper, a mathematical model of the load torque oscillation caused by a bearing fault is presented. The proposed model can be used to analyze the physical phenomenon of a bearing fault in an induction motor. In order to represent the bearing fault effect, the proposed model is combined with an existing model of vector-controlled induction motors. A set of simulation results demonstrate the effectiveness of the proposed model and represent that bearing fault detection using a stator current is useful for vector-controlled induction motors.

발전기시스템의 고정자보호 IED를 위한 개선된 알고리즘 (Advanced Algorithm for IED of Stator Winding Protection of Generator System)

  • 박철원
    • 전기학회논문지P
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    • 제57권2호
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    • pp.91-95
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    • 2008
  • The large AC generator fault may lead to large impacts or perturbations in power system. The generator protection control systems in Korea have been imported and operated through a turn-key from overseas entirely. Therefore a study of the generator protection field has in urgent need for a stable operation of the imported goods. In present, the algorithm using the current ratio differential relaying based DFT for stator winding protection or a fault detection had been applied that of internal fault protection of a generator. the DFT used for the analysis of transient state signal conventionally had defects losing a time information in the course of transforming a target signal to frequency domain. In this paper, the discrete wavelet transform (DWT) was applied a fault detection of the generator being superior to a transient state signal analysis and being easy to real time realization. The fault signals after executing a terminal fault modeling collect using a MATLAB package, and calculate the wavelet coefficients through the process of a muiti-level decomposition (MLD). The proposed algorithm for a fault detection using the Daubechies WT (wavelet transform) was executed with a C language and the commend line function for the real time realization after analyzing MATLAB's graphical interface. The advanced technique had improved faster a speed of fault discrimination than a conventional DFR based on DFT.