• 제목/요약/키워드: Using fault,

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종방향 자율주행을 위한 성능 지수 및 인간 모사 학습을 이용하는 구동기 고장 탐지 및 적응형 고장 허용 제어 알고리즘 (Actuator Fault Detection and Adaptive Fault-Tolerant Control Algorithms Using Performance Index and Human-Like Learning for Longitudinal Autonomous Driving)

  • 오세찬;이종민;오광석;이경수
    • 자동차안전학회지
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    • 제13권4호
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    • pp.129-143
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    • 2021
  • This paper proposes actuator fault detection and adaptive fault-tolerant control algorithms using performance index and human-like learning for longitudinal autonomous vehicles. Conventional longitudinal controller for autonomous driving consists of supervisory, upper level and lower level controllers. In this paper, feedback control law and PID control algorithm have been used for upper level and lower level controllers, respectively. For actuator fault-tolerant control, adaptive rule has been designed using the gradient descent method with estimated coefficients. In order to adjust the control parameter used for determination of adaptation gain, human-like learning algorithm has been designed based on perceptron learning method using control errors and control parameter. It is designed that the learning algorithm determines current control parameter by saving it in memory and updating based on the cost function-based gradient descent method. Based on the updated control parameter, the longitudinal acceleration has been computed adaptively using feedback law for actuator fault-tolerant control. The finite window-based performance index has been designed for detection and evaluation of actuator performance degradation using control error.

Development of Fault Detector for Series Arc Fault in Low Voltage DC Distribution System using Wavelet Singular Value Decomposition and State Diagram

  • Oh, Yun-Sik;Han, Joon;Gwon, Gi-Hyeon;Kim, Doo-Ung;Kim, Chul-Hwan
    • Journal of Electrical Engineering and Technology
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    • 제10권3호
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    • pp.766-776
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    • 2015
  • It is well known that series arc faults in Low Voltage DC (LVDC) distribution system occur at unintended points of discontinuity within an electrical circuit. These faults can make circuit breakers not respond timely due to low fault current. It, therefore, is needed to detect the series fault for protecting circuits from electrical fires. This paper proposes a novel scheme to detect the series arc fault using Wavelet Singular Value Decomposition (WSVD) and state diagram. In this paper, the fault detector developed is designed by using three criterion factors based on the RMS value of Singular value of Approximation (SA), Sum of the absolute value of Detail (SD), and state diagram. LVDC distribution system including AC/DC and DC/DC converter is modeled to verify the proposed scheme using ElectroMagnetic Transient Program (EMTP) software. EMTP/MODELS is also utilized to implement the series arc model and WSVD. Simulation results according to various conditions clearly show the effectiveness of the proposed scheme.

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

  • 한순신;최재영;이장명
    • 제어로봇시스템학회논문지
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    • 제16권1호
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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.

AT급전계통에서 실제 운행 중인 전기기관차 부하를 이용한 고장점 표정 알고리즘 보정계수 산출 방법 (Calculation Method of Modification Factors for Fault Location Algorithm Using Boosting Current of Operating Electric Train in AT Feeding System)

  • 김철환;김성렬;권성일;조규정;김철환;송인근
    • 전기학회논문지
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    • 제65권3호
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    • pp.504-510
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    • 2016
  • In general, a fault locator is installed in Sub-Station of AT(Auto-transformer) feeding system to estimate the fault location and to protect the Korean AT feeding system. Since the line impedance characteristic is different to normal 3-phase transmission line, we need particular modification factors, which can be calculated using fault location recording data, to estimate the accurate fault location. Up to recently, forcible ground test has been used to calculate the modification factors of the fault locator. However, large amount of current is occurred when the forcible ground test is performed, and this current affects to adjacent equipments. Therefore, we proposed a novel calculation method of modification factors, arbitrary trip test, using boosting current of the operating electric train. Through several field test, we confirmed that modification factors for fault locator can be easily calculated by using proposed method. Moreover, we verified the accuracy and stability of the proposed calculation method.

고장전류의 누적 에너지를 이용한 저압직류 배전계통의 고저항 지락고장 검출 알고리즘 개발 (Development of an Algorithm for Detecting High Impedance Fault in Low Voltage DC Distribution System using Accumulated Energy of Fault Current)

  • 오윤식;노철호;김두웅;권기현;한준;김철환
    • 조명전기설비학회논문지
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    • 제29권5호
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    • pp.71-79
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    • 2015
  • Recently, new Low Voltage DC (LVDC) power distribution systems have been constantly researched as uses of DC in end-user equipment are increased. As in conventional AC distribution system, High Impedance Fault (HIF) which may cause a failure of protective relay can occur in LVDC distribution system as well. It, however, is hard to be detected since change in magnitude of current due to the fault is too small to detect the fault by the protective relay using overcurrent element. In order to solve the problem, this paper presents an algorithm for detecting HIF using accumulated energy in LVDC distribution system. Wavelet Singular Value Decomposition (WSVD) is used to extract abnormal high frequency components from fault current and accumulated energy of high frequency components is considered as the element to detect the fault. LVDC distribution system including AC/DC and DC/DC converter is modeled to verify the proposed algorithm using ElectroMagnetic Transient Program (EMTP) software. Simulation results considering various conditions show that the proposed algorithm can be utilized to effectively detect HIF.

DC 그리드 안정성 향상을 위해 변압기형 초전도 한류기가 적용된 직류 차단 기술에 관한 연구 (A Study on DC Interruption Technology using a Transformer Type Superconducting Fault Current Limiter to Improve DC Grid Stability)

  • 황선호;최혜원;정인성;최효상
    • 전기학회논문지
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    • 제67권4호
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    • pp.595-599
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    • 2018
  • Interruption system with the transformer type superconducting fault current limiter(TSFCL) is proposed in this paper. The interruption system with a TSFCL is a technology that it maximizes the interruption function of a mechanical DC circuit breaker using a transformer and a superconducting fault current limiter. By a TSFCL, the system limits the fault current till the breakable current range in the fault state. Therefore, the fault current could be cut off by a mechanical DC circuit breaker. The Interruption system with a TSFCL were designed using PSCAD/EMTDC. In addition, the Interruption system with a TSFCL was applied to the DC test circuit to analyze characteristics of a current-limiting and a interruption operation. The simulation results showed that the Interruption system with a TSFCL interrupted the fault current in a stable when a fault occurred. Also, The current-limiting rate of the Interruption system with a TSFCL was approximately 69.55%, and the interruption time was less than 8 ms.

신경회로망기반 다중고장모델에 의한 비선형시스템의 고장감지와 분류 ((Fault Detection and Isolation of the Nonlinear systems Using Neural Network-Based Multi-Fault Models))

  • 이인수
    • 전자공학회논문지SC
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    • 제39권1호
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    • pp.42-50
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    • 2002
  • 본 논문에서는 비선형시스템에서 발생한 고장을 감지하고 분류하기 위한 신경회로망기반 다중고장모델을 이용한 고장감지 및 분류 방법을 제안한다. 시스템에 변화가 발생하면 시스템의 출력과 신경회로망 공칭모델 출력 사이의 오차가 고장감지를 위한 문턱값을 넘고, 고장이 감지되면 각 신경회로망 고장모델 출력과 시스템 출력 사이의 오차를 이용하여 통계적 기법으로 고장을 분류한다. 컴퓨터 시뮬레이션 결과로부터 제안한 고장진단방법이 비선형시스템에서의 고장감지 및 분류문제에 잘 적용됨을 알 수 있다.

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.

INBANCA기법을 이용한 웹 서버 장애 진단 및 복구기법 (Web Server Fault Diagnoisi and Recovery Mechanism Using INBANCA)

  • 윤정미;안성진;정진욱
    • 한국정보처리학회논문지
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    • 제7권8호
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    • pp.2497-2504
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    • 2000
  • 이 논문에서는 웹 서버 장애 항목을 정의하고, 장애를 진단하기 위한 규칙 및 복구 방법을 INBANCA기법을 이용하여 제안하였다. 장애 항목으로 프로세스 장애, 서버 과부하, 인터페이스 장애, 구성 및 성능 장애를 정의하였으며, 각 장애 항목을 진단하기 위한 지식을 활성 네트워크기법을 적용하여 표현하고, 이를 시스템 레벨 장애 진단 생성규칙과 서비스 레벨에 진단 생성규칙으로 정형화하였다. 또한 사례기반의 웹 서버 장애 복구를 위한 복구 규칙 정의 및 사례 라이브러리 구축을 통하여 환경 변수에 적응적인 복구 메커니즘을 제안하였다. 그리고 제안한 장애 진단규칙 및 복구 메커니즘의 타당성을 증명하기 위한 장애 환경 구성 및 각 장애 환경에 대한 생성규칙 적용과 복구과정을 실험을 통하여 제시하였다. 이 논문에서는 기하 급수적으로 증가하는 웹 서버의 장애 관리를 위한 메커니즘을 제안함으로써 웹 서버 관리를 위한 관리자의 노력을 최소화하고, 지능적인 장애 관리를 위한 방법론을 제시하고자 한다.

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모터 보호, 고장진단 및 제어를 위한 디지털 보호계전기 활용 전력감시제어 시스템 설계 (A Design of Power Management and Control System using Digital Protective Relay for Motor Protection, Fault Diagnosis and Control)

  • 이성환;안인석
    • 대한전기학회논문지:전력기술부문A
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    • 제49권10호
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    • pp.516-523
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    • 2000
  • In this paper, intelligent methods using digital protective relay in power supervisory control system is developed in order to protect power systems by means of timely fault detection and diagnosis during operation for induction motor which has various load environments and capacities in power systems. The spectrum pattern of input currents was used to monitor to state of induction motors, and by clustering the spectrum pattern of input currents, the newly occurrence of spectrums pattern caused by faults were detected. For diagnosis of the fault detected, the fuzzy fault tree was derived, and the fuzzy relation equation representing the relation between an induction motor fault and each fault type, was solved. The solution of the fuzzy relation equation shows the possibility of each fault's occurring. The results obtained are summarized as follows: 1) The test result on the basis of KEMC1120 and IEC60255, show that the operation time error of the digital motor protective relay is improved within ${\pm}5%$. 2) Using clustering algorithm by unsupervisory learning, an on-line fault detection method, not affected by the characteristics of loads and rates, was implemented, and the degree of dependency by experts during fault detection was reduced. 3) With the fuzzy fault tree, fault diagnosis process became systematic and expandable to the whole system, and the diagnosis for sub-systems can be made as an object-oriented module.

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