• 제목/요약/키워드: Electric Arc Heater

검색결과 4건 처리시간 0.016초

3상 저항가열식 전기히터의 화재예방을 위한 결함 진단장치 (Fault Diagnosis Device for Fire Prevention of the Resistance Heating Type three-Phase Electric Heater)

  • 이문형;김찬오
    • 전기학회논문지
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    • 제66권11호
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    • pp.1669-1674
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    • 2017
  • In this study, We have discussed the development of a diagnostic device to detect and prevent electrical fire due to the arc caused by contact failure and partial disconnection at the connection part of the three-phase electric heater wiring used in the industrial field. The arc caused by contact failure and partial disconnection at the connection part of the electric heater shows a change in the current effective value. Therefore, it is possible to determine whether there exists a defect by analyzing the current unbalance factor and the number of current fluctuations with the diagnostic apparatus. The three-phase unbalanced heater is considered to be capable of determining defects through periodic measurement and trend analysis of the current unbalance factor. It is also expected that this device can be used not only for electric heaters but also for detection of defects in wiring and connections of electrical equipment having a characteristic of constant load current.

고온 공기 가열기 개발 현황 조사 및 고찰 (The Review and Investigation of High Temperature Heater Development)

  • 김정우;이정민
    • 한국추진공학회지
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    • 제20권5호
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    • pp.90-98
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    • 2016
  • 극초음속 공기 흡입 추진기관의 지상 시험 시 추진기관의 고속 비행 조건을 모의하기 위해 고온 공기를 공급할 수 있는 고온 공기 가열기가 필요하다. 본 논문에서는 다양한 고온 가열기들을 조사하여 유형별로 정리하고, 장단점을 비교하였다. 가열기는 크게 유동장 내 연소 가열기, 아크 가열기, 축열식 가열기, 열교환식 가열기 4종류로 분류할 수 있었으며, 각각의 장단점이 다양하므로 목적에 맞게 가열기를 선정하여야 한다.

직렬아크에 대한 전류 및 전압 신호분석이 가능한 Monitoring Program 개발 (Development of Monitoring Program for Detecting Current and Voltage Signals for Series Arc)

  • 김두현;박종영;김성철;이종호
    • 한국안전학회지
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    • 제25권2호
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    • pp.29-34
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    • 2010
  • This paper is aimed to develop monitoring software for detecting the characteristics of current and voltage signals for series arc on electric wire. In order to attain this purpose, the characteristics of series arc were analyzed by the current and voltage signals on electric wire which were installed, and also analyzed by the changes of RMS, instantaneous of waveform value in time domain and THD in frequency domain. Monitoring program which analyze the signal was developed by Labview which can analyze in time domain and frequency domain, and save data. Experimental setup for detecting verification of monitoring program was composed loads of a lamp, an electric heater and an electric fan loads which were usually using. Measurement points for detecting verification of monitoring program were selected at both the panel board and the arc generator at the same time. As results of the experiments by monitoring program, the arc current waveform showed the same characteristic in all measurement points of all load. But the arc voltage waveform was different in each measurement point. When arc occurred, the THD of current value increased above 20%. The results of this study will be effectively used in developing the preventive system of electric fire by series arc.

저압배선계통에서 직렬아크의 검출에 관한 연구 (A Study on the Series Arc Detection in Low-voltage Wiring Systems)

  • 김일권;박대원;최수연;박찬용;김황국;길경석
    • 한국전기전자재료학회논문지
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    • 제21권2호
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    • pp.182-187
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    • 2008
  • This paper dealt with the detection algorithm of series arcing, which is a cause of electric fires in low-voltage wiring systems. To find the distinguished electrical features of series arc, we simulated series arcing by the arc generator specified in UL1699. An electric heater, an inverter-controlled vacuum cleaner, and a phase-controlled incandescent lamp were used as loads to generate series arcing. A high-pass filter (HPF) with the low cut-off frequency of 3 kHz at -3 dB was fabricated and applied to separate the series arc signal from the AC voltage source. The experiment showed that the high frequency signal generates randomly during series arcing, and the phase-controlled incandescent lamp produces high frequency pulses even in normal state. In this case, the magnitude, the width, and the randomness of high frequency signal should be analyzed to estimate series arcing precisely.