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首页> 外文会议>ASME(American Society of Mechanical Engineers) Pressure Vessels and Piping Conference 2006 vol.7: Operations, Applications, and Components >TAKING ADVANTAGE OF SIGNAL PROCESSING TECHNIQUES FOR THE LIFE MANAGEMENT OF NPP COMPONENTS
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TAKING ADVANTAGE OF SIGNAL PROCESSING TECHNIQUES FOR THE LIFE MANAGEMENT OF NPP COMPONENTS

机译：利用信号处理技术进行NPP组件的寿命管理

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The long term management of nuclear power plants raises several major issues among which the aging management of key components ranks high, from both technical and economic points of view. In order to detect and characterize potential defects on cast components, a program of in-service inspections is carried out by non-destructive testing (NDT) methods. In general, defect detection is the first step of an inspection procedure. Should a defect be detected, the plant operator must evaluate whether the component should be replaced or repaired (now or later) and will be required to prove that the component still meets regulatory requirements. That is why the characterization of the defect in terms of locating and sizing is essential, especially when the proof relies on mechanical calculations.In this paper we provide an overview of advanced signal processing techniques based on regularization of inverse problems. Those techniques have a strong potential for improving defect positioning and sizing. This has already been demonstrated in several R&D studies in the field of radiography and ultrasonics, leading in some cases to expertise-oriented applications.After a presentation of the general principles, we detail how regularization can be applied to process eddy current probe signals and provide good estimates of the depth of small surface breaking defects. Encouraging laboratory results have been obtained so far, which may lead to re-consider the scope of the eddy current technique as presently used in the nuclear industry. For example, its eligibility as an alternative NDE method could be explored in cases dealing with this kind of defect, if ultrasonics failed to meet the required characterization performance.
机译：核电厂的长期管理提出了几个主要问题，从技术和经济角度来看，关键组件的老化管理都非常重要。为了检测和表征铸件上的潜在缺陷，通过无损检测（NDT）方法执行了在线检查程序。通常，缺陷检测是检查过程的第一步。如果检测到缺陷，工厂操作员必须评估是否应更换或修理组件（现在或以后），并且将被要求证明该组件仍符合法规要求。这就是为什么根据定位和尺寸来表征缺陷至关重要的原因，尤其是当证明依赖于机械计算时。本文对基于反问题正则化的高级信号处理技术进行了概述。这些技术具有改善缺陷定位和尺寸确定的强大潜力。在射线照相和超声领域的一些研发研究中已经证明了这一点，在某些情况下导致了面向专业知识的应用。在介绍了一般原理之后，我们详细介绍了如何将正则化应用于处理涡流探头信号并提供对小的表面破裂缺陷的深度进行了很好的估计。到目前为止，已经获得了令人鼓舞的实验室结果，这可能导致重新考虑目前在核工业中使用的涡流技术的范围。例如，如果超声波未能满足所需的表征性能，则可以在处理此类缺陷的情况下探索其作为替代NDE方法的资格。

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