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Sensitivity analysis and dimension reduction of a steam generator model for clogging diagnosis

机译：用于堵塞诊断的蒸汽发生器模型的灵敏度分析和降维

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摘要

Nuclear steam generators are subject to clogging of their internal parts which causes safety issues. Diagnosis methodologies are needed to optimize maintenance operations. Clogging alters the dynamic behaviour of steam generators and particularly the response of the wide range level (WRL - a pressure measurement) to power transients. A numerical model of this phenomenon has previously been developed. Its input variables describe the spatial distribution of clogging and its output is a discretization of the WRL dynamic response. The objective of the present study is to characterize the information about the clogging state of a steam generator that can be inferred from the observation of its WRL response. A methodology based on several statistical techniques is implemented to answer that question. Principal component analysis reveals that clogging alters the WRL response mainly in two distinct ways. Accordingly, the output can be summarized into a vector of dimension 2. A sensitivity analysis is carried out to rank the input variables by magnitude of influence. It has shown that they can be divided into two groups corresponding to the two sides of the steam generator. Finally, sliced inverse regression is used to reduce the input dimension from 16 to 2. A sampling issue that arises when the input dimension is high is addressed. The simplification of the original problem yields a diagnosis methodology based on response surface techniques.
机译：核蒸汽发生器的内部零件容易堵塞，从而导致安全问题。需要使用诊断方法来优化维护操作。堵塞会改变蒸汽发生器的动态性能，特别是改变宽范围水平（WRL-压力测量值）对功率瞬变的响应。先前已经开发了这种现象的数值模型。它的输入变量描述了堵塞的空间分布，其输出是WRL动态响应的离散化。本研究的目的是表征有关蒸汽发生器堵塞状态的信息，该信息可以通过观察其WRL响应来推断。实现了一种基于几种统计技术的方法来回答该问题。主成分分析表明，堵塞主要通过两种不同的方式改变了WRL响应。因此，可以将输出汇总为2维向量。进行敏感性分析以按影响大小对输入变量进行排名。已经表明，它们可以分为与蒸汽发生器的两侧相对应的两组。最后，使用切片逆回归将输入维数从16减小到2。解决了当输入维数较高时出现的采样问题。原始问题的简化产生了基于响应面技术的诊断方法。

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