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이상국(Sang-Guk Lee),박종혁(Jong-Huck Park),이선기(Sun-Ki Lee),유근배(Keun-Bae Yoo),홍승열(Sung-Yull Hong) 대한기계학회 2006 대한기계학회 춘추학술대회 Vol.2006 No.11
To verify the system performance of portable AE leak diagnosis system which can measure with moving conditions, AE activities such as RMS voltage level, AE signal trend, leak rate degree according to AE database, FFT spectrum were measured during operation on total 11 valves of the secondary system in nuclear power plant. AE activities were recorded and analyzed from various operating conditions including different temperature, type of valve, pressure difference, valve size and fluid. The results of this field study are utilized to select the type of sensors, the frequency band for filtering and thereby to improve the signal-to-noise ratio for diagnosis for diagnosis or monitoring of valves in operation. As the final result of application study above, portable type leak diagnosis system by AE was developed. The outcome of the study can be definitely applied as a means of the diagnosis or monitoring system for energy saving and prevention of accident for power plant valve.
음향방출기술을 이용한 원자력발전소 제어밸브 유체누설 상시감시에 관한 연구
이상국(Sang-Guk Lee),박종혁(Jong-Huck Park),이선기(Sun-Ki Lee),유근배(Keun-Bae Yoo),홍승열(Sung-Yull Hong) 대한기계학회 2006 대한기계학회 춘추학술대회 Vol.2006 No.6
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 for high pressure turbine condensing water dump and main steam condensing water control on the normal size of 1-1/2, 2-1/2 and 2 . 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.