• Title/Summary/Keyword: Electrical Accident

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The Study on Facility Accident Case and PL Recognition of the Safety Manager in Electric Installation for Private Use (자가용 전기설비 안전관리자의 PL인식 조사 및 사고사례 연구)

  • Kim, Young-Seok;Shong, Kil-Mok;Kim, Sun-Gu
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.22 no.9
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    • pp.40-46
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    • 2008
  • In this paper, we investigated electric safety manager's PL recognition and accident occurrence of electric power facilities in electric installation for private use. The target of questionnaire survey is 450 electric installations for private use, 154 responded the questionnaire among these and it occupied 35.8[%]. The questionnaire survey says that 58[%] of electric safety manager knew well about PL contents and 42[%] of them did not recognize its. 82.4[%] of them must applied PL law in electric installation, 5.8[%] of them did not need the PL law. Reason of PL application occupied 64[%] for stability of electrical facility and product, 19[%] for prevention of same accident. The accident of transformer occupied most and the power cable accident were much next. The questionnaire survey results, electric safety managers are interested in PL contents, they expected necessity of PL application about electrical accident strongly.

An Instrumentation System Design for Electrical Accident Prevention of 3-Phase Electrical Control Panel (3상 전기제어반 전기사고 예방을 위한 계측시스템 설계)

  • Kwak, D.K.;Choi, J.K.;Kim, J.J.;Kwon, Y.J.;Song, G.
    • Proceedings of the KIPE Conference
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    • 2016.07a
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    • pp.36-37
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    • 2016
  • The main cause of electrical fires are caused due to short circuit and open circuit. This is generates an instantaneous electric arc or spark accompanied with such electric faults. These arcs generate a pressed wire, contact badness, and a weakness in the wire coating etc.. This research proposes a protection circuit to prevent open-phase accident due to contact failure of electromagnetic contactor, tracking arc fault, open-phase within the three-phase electrical control panel which is the most commonly applied in the industry. The proposed circuit also alarms and cuts off of power system when electrical faults occurs. In addition, the proposed circuit is validated by various electric accident simulator.

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Automobile System for Drowsiness Accident Detection using EDA Signal Analysis (피부 임피던스 신호 분석을 통한 졸음운전 판단 시스템 개발)

  • Lee, Young-Bum;Lee, Myoung-Ho
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.2
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    • pp.432-435
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    • 2007
  • In modern society, automobile is necessary vehicle. Automobile is a series of modern convenient. And the number of automobile is on the increase. But from you to year, automobile accident is on the increase, also. One of most reason that cause automobile accident is drowsiness driving. So, we plan to construct automobile system for drowsiness accident prevention for decreasing automobile accident. In this research, we built a drowsiness detecting device using EDA (Electro Dermal Activity) signal which is electric response in the human body skin. There are SIL (Skin Impedance Level) and SIR (Skin Impedance Response) in EDA. Mostly, SIL consists of DC element. On the other hand, SIL consists of AC element. We could detect the drowsiness condition with SIL and SIR signal.

A Study on Electrical Accident of Distributing Cable Termination Considering PL Law Environment (PL법 환경을 고려한 배전 케이블 종단부의 전기적 사고 연구)

  • Kim, Sang-Hyun;Choi, Jae-Hyeong;Choi, Jin-Wook;Baek, Seung-Myeong
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.22 no.2
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    • pp.178-183
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    • 2009
  • This paper introduces experimental investigates of an accident pattern for the distributing cross linking-polyethylene(XLPE) cable terminations considering product liability(PL) law environment. The influence of defects such as thickness and length decrease of XLPE, an impurity on XLPE and the gap between stress-con of housing and semi-conductor on insulating properties of the termination have been studied. The thickness and length decrease of XLPE decrease ac breakdown strengths. Breakdown traces of XLPE that is damaged by knife displayed ellipse shape. The gap of between stress-con and semiconductor deteriorates dielectric strength of XLPE seriously.

The Accident Analysis Caused by Dust of Electrical Installation in Vulnerable Area (전기설비 취약지역에서의 분진에 의한 사고영향 분석)

  • Kim, Young-Seok;Shong, Kil-Mok;Kim, Jong-Min
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 2008.10a
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    • pp.345-348
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    • 2008
  • In this paper, we investigated a dust pollution and spot survey of electrical installation in vulnerable area. From the survey results, we know that the dust was easily accumulated in cabinet panel because the cabinet panel cover was opened and the management of installation was not good. Although the dust pollution was not difference, the possibility of accident become increased by dust in salt area. Thus, it is necessary to variation of cabinet panel shape to prevention of electrical disaster in dust occurrence and another protection devices.

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Analysis of Breaking Accident of FRP Insulator Rod installed in Dead Section (절연구간 조가선 FRP 절연봉의 절단사고 원인분석)

  • Jang, Don-Guk;Lee, Ki-Won;Kim, Ju-Rak;Park, Hyun-June
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2003.07a
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    • pp.502-505
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    • 2003
  • The accidnet of breaking insulator rod leads to inturruption of moving the subway. We investigate the analysis of analysis of breaking accident of FRP insulator rod installed in dead section for catenary feeding system. To analysis of accident reason, SEM is used to analysis microscopic struture on surface of cross section of broken FRP insulator rod. At the same time, we examine the chage of atomic amount on solace of accident insulator through EDX analysis. Also, the test for tensional breaking load is condoled to check the mechanical strength.

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Experimental Verification According to an Accident Model in a Metal-Clad Switchgear at 22.9kV (22.9kV 폐쇄 배전반내의 사고모델을 통한 실험적 검증)

  • Shong, Kil-Mok;Han, Woon-Ki;Choi, Chung-Seog
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.55 no.2
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    • pp.110-114
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    • 2006
  • This paper describes the accident analysis by modelling the current transformer mounting in a metal-clad switchgear at 22.9kV. In analyzing the accident, the reconstruction at the current transformer mounting(VCB connecting guide) has to be taken into account. The accident was modelled as a 3-phase ground fault occurring between the end plate of 22.9kV lines and the safety shutter at the current transformer mounting of the VCB inside the metal clad switchgear. Since the outside maintenance of the metal clad switchgear is restricted by the enclosed compartments, Its circumference has to be kept clean. Through the reconstruction results, it was confirmed that the fault of the enclosed switchboard could be reduced when the shutter made of Fe material was chanted into an insulation.

Study on Accident Prediction Models in Urban Railway Casualty Accidents Using Logistic Regression Analysis Model (로지스틱회귀분석 모델을 활용한 도시철도 사상사고 사고예측모형 개발에 대한 연구)

  • Jin, Soo-Bong;Lee, Jong-Woo
    • Journal of the Korean Society for Railway
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    • v.20 no.4
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    • pp.482-490
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    • 2017
  • This study is a railway accident investigation statistic study with the purpose of prediction and classification of accident severity. Linear regression models have some difficulties in classifying accident severity, but a logistic regression model can be used to overcome the weaknesses of linear regression models. The logistic regression model is applied to escalator (E/S) accidents in all stations on 5~8 lines of the Seoul Metro, using data mining techniques such as logistic regression analysis. The forecasting variables of E/S accidents in urban railway stations are considered, such as passenger age, drinking, overall situation, behavior, and handrail grip. In the overall accuracy analysis, the logistic regression accuracy is explained 76.7%. According to the results of this analysis, it has been confirmed that the accuracy and the level of significance of the logistic regression analysis make it a useful data mining technique to establish an accident severity prediction model for urban railway casualty accidents.

Fault Detection Sensitivity of a Data-driven Empirical Model for the Nuclear Power Plant Instruments (데이터 기반 경험적 모델의 원전 계측기 고장검출 민감도 평가)

  • Hur, Seop;Kim, Jae-Hwan;Kim, Jung-Taek;Oh, In-Sock;Park, Jae-Chang;Kim, Chang-Hwoi
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.5
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    • pp.836-842
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    • 2016
  • When an accident occurs in the nuclear power plant, the faulted information might mislead to the high possibility of aggravating the accident. At the Fukushima accident, the operators misunderstood that there was no core exposure despite in the processing of core damage, because the instrument information of the reactor water level was provided to the operators optimistically other than the actual situation. Thus, this misunderstanding actually caused to much confusions on the rapid countermeasure on the accident, and then resulted in multiplying the accident propagation. It is necessary to be equipped with the function that informs operators the status of instrument integrity in real time. If plant operators verify that the instruments are working properly during accident conditions, they are able to make a decision more safely. In this study, we have performed various tests for the fault detection sensitivity of an data-driven empirical model to review the usability of the model in the accident conditions. The test was performed by using simulation data from the compact nuclear simulator that is numerically simulated to PWR type nuclear power plant. As a result of the test, the proposed model has shown good performance for detecting the specified instrument faults during normal plant conditions. Although the instrument fault detection sensitivity during plant accident conditions is lower than that during normal condition, the data-drive empirical model can be detected an instrument fault during early stage of plant accidents.