• Title/Summary/Keyword: leak judgment technique

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Development of Leakage Judgment Technique based on Pressure Data of Smart Gas Meter (스마트 가스 계량기 압력 데이터 기반 누출 판단 기법 개발)

  • Jung-Hoon Kim;Jung-Suk Oh;Jin-Han Lee
    • Journal of the Korean Institute of Gas
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    • v.27 no.2
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    • pp.57-64
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    • 2023
  • As the meter reading method of gas meters develops, smart gas meters capable of remote meter reading (leak checking meters and multi-function safety meters) are being used. These meters have a function to judge leakage by utilizing the flow rate and pressure data collected as an additional function. Leakage judgment function using flow rate data has valid cases in the actual field, but the pressure data-based leakage judgment standard is based on not only the pressure value change due to leakage but also various factors (pressure regulator pressure, connection with adjacent meters, usage of adjacent houses, location of meters, etc.). There is a problem with pressure magnitude changes (levels). In this paper, as a technique that can judge leaks by using pressure data collected from smart gas meters, it was developed through preprocessing of pressure data, criteria for pressure value ranges related to leaks, leak judgment techniques, and application case verification.

Study on the Real-Time Leak Monitoring Technique for Power Plant Valves (발전용 밸브누설 실시간 감시기술 연구)

  • Lee, S.G.
    • Journal of Power System Engineering
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    • v.11 no.1
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    • pp.39-44
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    • 2007
  • The purpose of this study is to verify availability of the acoustic emission in-situ monitoring method to the internal leak and operating conditions of the major valves at nuclear power plants. In this study, acoustic emission tests are performed when the pressurized temperature water and steam flowed through glove valve(main steam dump valve) and check valve(main steam outlet pump check valve) on the normal size of 12 and 18". The valve internal leak monitoring system for practical field was designed. The acoustic emission method was applied to the valves at the site, and the background noise was measured for the abnormal plant condition. To improve the reliability, a judgment of leak on the system was used various factors which are AE parameters, trend analysis, frequency analysis, voltage analysis and amplitude analysis of acoustic signal emitted from the valve operating condition internal leak.

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