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ADVANCED SIGNAL PROCESSING TECHNIQUES FOR GUIDED WAVE CORROSION MONITORING SYSTEM IN SECONDARY CIRCUITS OF NUCLEAR POWER PLANTS

机译:核电站二次电路引导波腐蚀监测系统的先进信号处理技术

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This paper describes the application of independent component analysis (ICA) to detect corrosion-induced defects in commercial nuclear power plants. This paper analyzes the applicability and benefits of ICA when applied to guided wave (GW) technology to detect corrosion in secondary circuits, as well as studying the potential for expanding the range of GW technology to include complex geometries and piping components. The ultrasonic GWs can inspect long stretches of straight piping; however, more complex geometries that include elbows, welds, and tees are causing spurious reflections and coherent noise, which significantly decreases the sensitivity of the GW systems. The potential of ICA to improve detection sensitivity is analyzed and practical recommendations are provided. It is demonstrated on GW data collected at one of the commercial nuclear power plants that ICA, under certain conditions, is capable of separating different coherent noise components and has potential for improving signal-to-noise ratio.
机译:本文介绍了独立分量分析(ICA)检测商业核电厂中腐蚀引起的缺陷的应用。本文分析了ICA在应用于引导波(GW)技术时ICA的适用性和益处,以检测次级电路中的腐蚀,以及研究扩展GW技术范围的可能性,包括复杂的几何和管道部件。超声波GW可以检查长度的直接管道;然而,包括肘部,焊接和T恤的更复杂的几何形状导致虚假的反射和相干噪声,这显着降低了GW系统的灵敏度。分析了ICA提高检测灵敏度的潜力,并提供了实用的建议。它对在一项商业核电站收集的GW数据上进行了证明,该核电站在某些条件下,ICA能够分离不同的相干噪声分量并具有提高信噪比的可能性。

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