• Title/Summary/Keyword: Fault Detecting

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Malfunction Detection of High Voltage Equipment Using Microphone Array and Infrared Thermal Imaging Camera (Microphone Array와 열화상 카메라를 이용한 고압설비 고장검출)

  • Han, Sun-Sin;Choi, Jae-Young;Lee, Jang-Myung
    • Journal of Institute of Control, Robotics and Systems
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    • v.16 no.1
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    • pp.25-32
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    • 2010
  • The paper proposes a hierarchical fault detection method for the high voltage equipment using a microphone array which detects the location of fault and the thermal imaging and CCD cameras which verifies the fault and stores the image, respectively. There are partial arc discharges on the faulty insulators, which generates a specific pattern of sound. Detecting the signal using the microphone array, the location of the faulty insulator can be estimated. The 6th band-pass filter was applied to remove noise signal from wind or external influence. When the mobile robot carries the thermal and CCD cameras to the possible place of the fault insulator, the fault insulators or power transmission wires can be detected by the thermal images, which are caused by the aging or natural erosion. Finally, the CCD camera captures the image of the fault insulator for the record. The detection scheme of fault location using the microphone array and the thermal images have been proved to be effective through the real experiments. As a result of this research, it becomes possible to use a mobile robot with the integrated sensors to detect the fault insulators instead of a human being.

Ground fault protective relaying schemes for DC traction power supply system (비접지 DC 급전계통에서 전류형 지락보호계전 방법)

  • 정상기;정락교;이성혁;김연수;조홍식
    • Journal of the Korean Society for Railway
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    • v.7 no.4
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    • pp.412-417
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    • 2004
  • In urban rail transit systems, ground faults in the DC traction power supply system are currently detected by the potential relay, 64P. Though it detects the fault it cannot identify the faulted region and therefore the faulted region could not be isolated properly. Therefore it could cause a power loss of the trains running on the healthy regions and the safety of the passengers in the trains could be affected adversely. Two new ground fault protective relay schemes that can identify the faulted region are presented in this paper. A current limiting device, called Device X, is newly introduced in both system, which enables large amount of ground fault current flow upon the positive line to ground fault. One type of the relaying schemes is called directional and differential ground fault protective relay which uses the current differential scheme in detecting the fault and uses the permissive signal from neighboring substation to identify the faulted region correctly. The other is called ground over current protective relay. It is similar to the ordinary over current relay but it measures the ground current at the device X not at the power feeding line, and it compares the current variation value to the ground current in Device X to identify the correct faulted line. Though both type of the relays have pros and cons and can identify the faulted region correctly, the ground over current protective relaying scheme has more advantages than the other.

The Implementation of the system-on-board controllable the electrical fires due to ground fault, arc fault and overload (누전, 아크, 과부하에 의한 전기화재 제어 시스템 보드의 구현)

  • Kim, Byung-Cheul;Chun, Joong-Chang
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.2
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    • pp.419-424
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    • 2011
  • The system-on-board detectable and controllable the electrical fires due to ground fault(GF), arc fault and overload is implemented. The system IC for controlling and preventing the electrical fires is available to this system. The GF detection circuit for detecting the electrical leakage current, the arc fault detection circuit and the overload detection circuit controllable the input voltage for flowing the overload current are designed. The GF detection circuit and the arc fault detection circuit are good operated to the electrical leakage current and the arc signal, respectively. It is confirmed that the overload detection circuit has shown no erratic operation with the noise or the load variation and is only operated at the overload condition.

Actuator Fault Detection and Isolation Method for a Hexacopter (헥사콥터의 구동기 고장 검출 및 분리 방법)

  • Park, Min-Kee
    • Journal of IKEEE
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    • v.23 no.1
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    • pp.266-272
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    • 2019
  • Multicopters have become more popular since they are advantageous in their ability to take off and land vertically. In order to guarantee the normal operations of such multicopters, the problem of fault detection and isolation is very important. In this paper, a new method for detecting and isolating an actuator fault of a hexacopter is proposed based on the analytical approach. The residual is newly defined using the angular velocities of actuators estimated by the mathematical model and an actuator fault is detected comparing the residuals to a threshold. And a fault is isolated combining a dynamic model and generated residuals when a fault is detected. The proposed method is a simple, but effective technique because it is based on mathematical model. The results of the computer simulation are also given to demonstrate the validity of the proposed algorithm in case of a single failure.

Development of Vehicle Longitudinal Controller Fault Detection Algorithm based on Driving Data for Autonomous Vehicle (자율주행 자동차를 위한 주행 데이터 기반 종방향 제어기 고장 감지 알고리즘 개발)

  • Yoon, Youngmin;Jeong, Yonghwan;Lee, Jongmin;Yi, Kyongsu
    • Journal of Auto-vehicle Safety Association
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    • v.11 no.2
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    • pp.11-16
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    • 2019
  • This paper suggests an algorithm for detecting fault of longitudinal controller in autonomous vehicles. Guaranteeing safety in fault situation is essential because electronic devices in vehicle are dependent each other. Several methods like alarm to driver, ceding control to driver, and emergency stop are considered to cope with fault. This research investigates the fault monitoring process in fail-safe system, for controller which is responsible for accelerating and decelerating control in vehicle. Residual is computed using desired acceleration control command and actual acceleration, and detection of its abnormal increase leads to the decision that system has fault. Before computing residual for controller, health monitoring process of acceleration signal is performed using hardware and analytic redundancy. In fault monitoring process for controller, a process model which is fitted using driving data is considered to improve the performance. This algorithm is simulated via MATLAB tool to verify performance.

Efficient Fault Location Detecting Mechanism for Optical Submarine Cable (해저광케이블 고장지점 탐지기법)

  • Park, Hong-Tae;Yoo, Jae-Duck;Yoon, Suk-Min;Jo, Gi-Rayng;Shin, Hyun-Sik
    • The Journal of the Korea institute of electronic communication sciences
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    • v.1 no.1
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    • pp.63-69
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    • 2006
  • The optical submarine cable has a long distance cable and the repeater for optical amplification compared to territorial optical cable so conventional OTDR utilization for the optical submarine cable is limited. in case the optical core in the optical submarine cable system cut, by using Coherent OTDR that utilize OTDR path in repeater the cable fault point can be detected and in case the faulty of the copper tube in the cable that provide power for the repeater to amplify optical signal, the ways using the current/voltage characteristic, the capacitance per Km and so on is required. this report suggest efficient fault location detecting mechanism by categorized cable fault type.

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Stator Winding Fault Diagnosis in Small Three-Phase Induction Motors by Park's Vector Approach (Park's Vector 기법을 이용한 소형 3상 유도 전동기의 권선 고장 진단)

  • 박규남;한민관;우혁재;송명현
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.7 no.6
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    • pp.1291-1296
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    • 2003
  • This paper deals with efficient diagnostic for stator winding fault of 3-phase induction motor using a current Park's vector approach. This method firstly transforms 3-phase stator current to vertical axis current and horizontal axis current of Park's Vector, and then obtains the each Park's Vector Pattern and detects stator winding fault by comparing to Park's Vector Pattern of healthy and fault. Experimental results, obtained by using induction motor having inter-turn fault of 2, 10, 20 turn, demonstrate the effectiveness of the proposed technique, for detecting the presence of stator winding fault under 25%, 50%, and 100% of full load condition.

The Study on Correction of Protective Relaying Set Value for the Power Electric Network Paralleled with Wind Farm (풍력전단지의 계통 연계 운전에 따른 보호 계전기 설정치 정정에 관한 고찰)

  • Jang, Sung-Il;Choi, Don-Man;Choi, Jeong-Hwan;Kim, Kwang-Ho;Oh, Jong-Youl;Kim, Joo-Yearl
    • Proceedings of the KIEE Conference
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    • 2002.07a
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    • pp.487-490
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    • 2002
  • Wind farm paralleled with electric power network can supply the power into a power network not only the normal conditions, but also the fault conditions of distribution network. If the fault happened in the power line with wind farm, the fault current level measured in a relaying point might be lower than that of distribution network without wind turbine generator. Consequently, it is difficult to detect the fault happened in the distribution network connected with wind generator. This paper describes the influence of wind turbine generator on the protective relaying system for detecting the fault occurred in a power line network. Simulation results shows that the fault current depends on the fault impedance, location, and the capacity of wind farm and distribution network load.

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Ungrounded System Fault Section Detection Method by Comparison of Phase Angle of Zero-Sequence Current

  • Yang, Xia;Choi, Myeon-Song;Lee, Seung-Jae;Lim, Il-Hyung;Lim, Seong-Il
    • Journal of Electrical Engineering and Technology
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    • v.3 no.4
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    • pp.484-490
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    • 2008
  • In this paper, an integrated fault section detection and isolation strategy is proposed based on the application of the Distribution Automation System(DAS) utilizing advanced IT and communication technologies. The Feeder Remote Terminal Unit(FRTU) has been widely used to collect data in the Korean distribution system. The achieved data is adopted in this method for detecting multiple fault types. Especially in the case of single phase-to-ground fault, the fault section is detected by comparison of the zero-sequence current phase angle. The test results have verified the effectiveness of the proposed method in a radial distribution system through extensive simulations in Matlab/Simulink. Furthermore, a communication-based demo system identical to the simulation model has been developed, and it can be applied as an online monitoring and control program for fault section detection and isolation.

Fault Detection and Damage Pattern Analysis of a Gearbox Using the Power Spectra Density and Artificial Neural Network (파워스펙트럼 및 신경망회로를 이용한 기어박스의 결함진단 및 결함형태 분류에 관한 연구)

  • Lee, Sang-Kwon
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.27 no.4
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    • pp.537-543
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    • 2003
  • Transient vibration generated by developing localized fault in gear can be used as indicators in gear fault detection. This vibration signal suffers from the background noise such as gear meshing frequency and its harmonics and broadband noise. Thus in order to extract the information about the only gear fault from the raw vibration signal measured on the gearbox this signal is processed to reduce the background noise with many kinds of signal-processing tools. However, these signal-processing tools are often very complex and time waste. Thus. in this paper. we propose a novel approach detecting the damage of gearbox and analyzing its pattern using the raw vibration signal. In order to do this, the residual signal. which consists of the sideband components of the gear meshing frequent) and its harmonics frequencies, is extracted from the raw signal by the power spectral density (PSD) to obtain the information about the fault and is used as the input data of the artificial neural network (ANN) for analysis of the pattern of gear fault. This novel approach has been very successfully applied to the damage analysis of a laboratory gearbox.