• Title/Summary/Keyword: 고장 감지

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Analysis on the Lighting Characteristics using KLDNet in Korea (낙뢰감지 네트워크를 이용한 한반도 낙뢰특성 분석)

  • Woo, Jung-Wook;Kwak, Joo-Sik;Koo, Kyo-Sun;Kim, Kyung-Tak;Kweon, Dong-Jin
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.23 no.9
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    • pp.117-123
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    • 2009
  • Recently, the failures of electrical equipment have been reduced due to the improvement of its quality and the advance of operation techniques but the failure rates caused by natural disasters such as wind and lightning have been increased. To reduce the failures due to lightning, it is necessary for insulation design of transmission lines to be done, effectively. Also the analysis on the lightning characteristics is essential to the effective insulation design. In this paper, we describe lightning distribution, multiplicity, IKL(Iso-Keraunic Level) and amplitude distribution of lightning current base on the lightning data by KLDNet.

Robust Model Based Fault Detection of EPB System for Varying Temperature (온도변화에 강인한 EPB 시스템의 모델기반 고장검출 방법)

  • Moon, Byoung-Joon;Park, Chong-Kug
    • Transactions of the Korean Society of Automotive Engineers
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    • v.17 no.5
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    • pp.26-30
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    • 2009
  • In this paper, a robust model based fault detection for varying temperature is proposed, To develop a robust force estimation model, it needs temperature information because the force sensor's output is affected by a temperature variation. If an EPB system does not include a temperature sensor, the model has a much larger error than an EPB system with a built-in temperature sensor. Therefore, the temperature is estimated by using Ohm's law. The force model is applied with a motor current, battery voltage, operation mode, and the estimated temperature to detect a force sensor's abnormal signal fault. The residual is calculated by comparing the value of the measured force and the estimated force. Fault information is collected by using the output of the evaluated residual with the adaptive thresholds. A proposed robust model based fault detection for varying temperature was verified by HILS (Hardware in the Loop Simulation).

Conditioning diagnosis & on-line monitoring technology on the traction motor for railway rolling stock (철도차량 견인전동기의 상태진단 및 상시감시 기술)

  • Wang, Jong-Bae;Hong, Seon-Ho;Kim, Sang-Am;Kwak, Sang-Rok
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2003.07a
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    • pp.92-95
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    • 2003
  • 본 논문에서는 철도차량 견인전동기에 대한 상태진단 및 상시감시 기술에 관하여 소개하였다. 권선의 절연상태 진단을 위한 비파괴 시험법에서는 부분방전량 Q에 대한 평균열화도 $\Delta$로 표현되는 D-Map에 의해 잔여 절연내력(residual dielectric strength)을 예측하고, 기기의 운전이력측면에서 기동-정지 횟수와 열적, 전기적 및 열싸이클 스트레스 등에 의해 각 열화 인자를 고려한 운전시간에 기반한 N-Y 수명예측을 수행한다. 그리고 견인전동기의 전류에 대한 온라인 상태감시를 통해 베어링 고장, 고정자 및 전기자 고장, 고장 또는 전동기축 손상에 기인하는 비정상 운전상태 의 감지를 수행한다.

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A Study on Reliability Improvement of Avionics Equipment (항공전자 장비 신뢰도 향상 방안 연구)

  • Seo, Joon-Ho;Kim, Young-Kil
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.05a
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    • pp.383-386
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    • 2017
  • Avionics, a type of embedded system, requires high safety and reliability. Failure of avionics equipment can have a significant impact on aircraft operations and, in the worst case, could result in loss of life for pilots and passengers. In this paper, we propose a Built-In-Test (hereafter referred to as BIT) design technique that can detect possible faults in avionics equipments in order to increase the reliability of avionics system and a design that can improve the Mean Time Between Failure (hereafter: MTBF) and applied it to real aviation electronic equipment to improve reliability.

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Analysis of Checkpointing Model with Instantaneous Error Detection (즉각적 오류 감지가 가능한 경우의 체크포인팅 모형 분석)

  • Lee, Yutae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.1
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    • pp.170-175
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    • 2022
  • Reactive failure management techniques are required to mitigate the impact of errors in high performance computing. Checkpoint is the standard recovery technique for coping with errors. An application employing checkpoints periodically saves its state, so that when an error occurs while some task is executing, the application is rolled back to its last checkpointed task and resumes execution from that task onward. In this paper, assuming the time-to-errors are independent each other and generally distributed, we analyze the checkpointing model with instantaneous error detection. The conventional assumption that two or more errors do not take place between two consecutive checkpoints is removed. Given the checkpointing time, down-time, and recovery time, we derive the reliability of the checkpointing model. When the time-to-error follows an exponential distribution, we obtain the optimal checkpointing interval to achieve the maximum reliability.

Assessing Infinite Failure Software Reliability Model Using SPC (Statistical Process Control) (통계적 공정관리(SPC)를 이용한 무한고장 소프트웨어 신뢰성 모형에 대한 접근방법 연구)

  • Kim, Hee Cheul;Shin, Hyun Cheul
    • Convergence Security Journal
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    • v.12 no.6
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    • pp.85-92
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    • 2012
  • There are many software reliability models that are based on the times of occurrences of errors in the debugging of software. It is shown that it is possible to do asymptotic likelihood inference for software reliability models based on infinite failure model and non-homogeneous Poisson Processes (NHPP). For someone making a decision about when to market software, the conditional failure rate is an important variables. The finite failure model are used in a wide variety of practical situations. Their use in characterization problems, detection of outliers, linear estimation, study of system reliability, life-testing, survival analysis, data compression and many other fields can be seen from the many study. Statistical Process Control (SPC) can monitor the forecasting of software failure and there by contribute significantly to the improvement of software reliability. Control charts are widely used for software process control in the software industry. In this paper, we proposed a control mechanism based on NHPP using mean value function of log Poission, log-linear and Parto distribution.

Development of Algorithm and Program for the Ground Fault Detection in Ungrounded Distribution Power System (비접지 배전계통 지락고장 검출 알고리즘 및 프로그램 개발)

  • Park, So-Young;Shin, Chang-Hoon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.10
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    • pp.2619-2627
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    • 2009
  • The ground fault is occupying 70% among the total number of faults in ungrounded distribution power system. When the ground fault occurs in ungrounded system, the fault current is so small that it is hard to detect. But fault handling is very important because to continue power supply during fault conditions may cause the fault spreading and the distribution device in trouble. This paper presents the fault line detection method by using GPT signal detecting zero sequence voltage, and the fault section detection method by detecting whether GPT signal is disappeared or not during shifting normally open switch, which is connecting switch between distribution lines with open state in order to restore the outage area under emergency situation, and during isolating each section one by one which belongs to the fault line. This method is efficient because there is no whole power interruption during the fault section detection, and it is possible to perform both the fault section detection and the service restoration for the outage area at the same time, and it can apply to various distribution system configuration. Program for the fault restoration was developed applying proposed method, and it has been validated by applying to the pilot project of distribution automation system in Vietnam which has the ungrounded distribution system.

Improved Fault Detection Based on One-Class Classification and Feature Selection (단일 클래스 분류와 특징 선택에 기반한 향상된 이상 감지)

  • Cho, Hyun-Woo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.8
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    • pp.216-223
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    • 2019
  • Fault detection during production processes is one of the required operational tasks to run production processes both safely and consistently. Unexpected operational events or undetected process faults can have a serious impact on the production systems and subsequently on the final products' quality. In addition, such situations may lead to malfunctions or breakdowns of production processes. To reliably detect such abnormalities, a new one-class classification-based detection scheme has recently been developed The proposed method consists of four steps:1) noise filtering, 2) feature selection, 3) nonlinear representation and 4) outlier detection. The performance of the proposed scheme was demonstrated using the multivariate data obtained from a simulation process. The results have shown that the proposed method produced reliable monitoring results and outperforms any existing methods with an average improvement of 25.4%. The use of proper feature selection in the proposed framework yielded better detection performance.

Analysis on current limiting characteristics of SFCL with triggering and limiting components (트리거와 리미팅 구성요소를 갖는 초전도 한류기의 전류제한 특성 분석)

  • Son, Sang-Won;Wang, Soon-Wook;Lim, Sung-Hun
    • Proceedings of the KIEE Conference
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    • 2009.07a
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    • pp.2213_2214
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    • 2009
  • 본 논문에서는 트리거와 리미팅 요소를 갖는 초전도 한류기의 전류제한 특성을 분석하였다. 일반적으로 저항형 초전도한류기는 트리거동작과 리미팅동작이 초전도한류기 자체에서 모두 이루어지게 된다. 초전도 한류기의 구성요소를 트리거동작과 리미팅동작을 수행하는 요소로 분리시켜 보다 효율적으로 고장전류를 감지하고 제한할 수 있음을 등가회로와 모의실험을 통해 확인하였다.

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연구보고서 소개 - 감지 제어형 방호장치 실용화 연구

  • Choe, Seung-Ju
    • 월간산업보건
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    • s.286
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    • pp.55-56
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    • 2012
  • 프레스는 끼임재해가 많이 발생하는 위험 기계로 방호장치의 사용이 필수적이다. 현재 광전자식 방호장치가 널리 보급되어 설치되고 있으나 프레스의 가공 작업시 발생하는 진동으로 인하여 방호장치의 고장이나 오작동이 많아서 사용에 불편함을 초래하고 있다. 이러한 불편함뿐만 아니라 생산성 등의 이유로 발스위치를 사용하고 있는데, 방호장치를 사용하지 않는 상태에서 손으로 작업하다가 재해가 많이 발생하고 있는 실정이다. 따라서 본 연구는 프레스에서의 끼임 재해예방을 위해 방호장치의 사용을 독려하고 이를 위한 기존 방호장치의 진동문제 개선을 위한 방안과 신규 방호장치의 도입을 위한 안전인증기준안을 제시하고 기술적인 문제를 검토하여 대책을 마련하고자 하였다.

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