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

机译:核电厂二次回路导波腐蚀监测系统的高级信号处理技术

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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:本文介绍了独立成分分析(ICA)在检测商业性核电站中由腐蚀引起的缺陷中的应用。本文分析了ICA在应用于导波(GW)技术以检测二次回路腐蚀时的适用性和优势,并研究了将GW技术的范围扩展到包括复杂几何形状和管道组件的潜力。超声波GW可以检查较长的直管段;但是,包括弯头,焊缝和三通等更复杂的几何形状会导致杂散反射和相干噪声,从而大大降低了GW系统的灵敏度。分析了ICA提高检测灵敏度的潜力,并提供了实用建议。在其中一个商业核电厂收集的GW数据上证明,ICA在某些条件下能够分离出不同的相干噪声分量,并且具有改善信噪比的潜力。

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