Detection and prediction of thimble tube defects using artificial neural networks

IF 1.1 4区工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal of Applied Electromagnetics and Mechanics Pub Date : 2023-11-30 DOI:10.3233/jae-230132

Tong Wu, Yuanyuan Wang, Xiaoguang Li, Yu Tao, Chaofeng Ye

引用次数: 0

Abstract

The reliability of thimble tubes plays a critical role for maintaining the safety of a nuclear power plant. The defect depth needs to be quantified and predicted to support the operational decision-making. This paper presents a method to quantify the defects on thimble tube wall based on the analyzation of eddy current testing (ECT) data. Then, a method using artificial neural network (ANN) to predict the detect depth is studied. The tubes are divided into 2 shapes and four regions according to their positions and the data of each region and each shape is expanded by mean interpolation. A prediction model based on ANN is constructed for each shape in each region. The experimental results show that the model can predict the signal of the next year according to the signal of the previous three years with mean absolute percentage error less than 16%.

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利用人工神经网络检测和预测顶针管缺陷

顶针管的可靠性对维护核电站的安全起着至关重要的作用。需要对缺陷深度进行量化和预测，以支持运行决策。本文介绍了一种基于涡流测试（ECT）数据分析的顶针管壁缺陷量化方法。然后，研究了使用人工神经网络（ANN）预测检测深度的方法。根据管子的位置将其分为两种形状和四个区域，并通过平均插值法对每个区域和每种形状的数据进行扩展。为每个区域的每个形状构建了基于 ANN 的预测模型。实验结果表明，该模型可以根据前三年的信号预测下一年的信号，平均绝对百分比误差小于 16%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Applied Electromagnetics and Mechanics 物理-工程：电子与电气

CiteScore

1.70

自引率

0.00%

发文量

100

审稿时长

4.6 months

期刊介绍： The aim of the International Journal of Applied Electromagnetics and Mechanics is to contribute to intersciences coupling applied electromagnetics, mechanics and materials. The journal also intends to stimulate the further development of current technology in industry. The main subjects covered by the journal are: Physics and mechanics of electromagnetic materials and devices Computational electromagnetics in materials and devices Applications of electromagnetic fields and materials The three interrelated key subjects – electromagnetics, mechanics and materials - include the following aspects: electromagnetic NDE, electromagnetic machines and devices, electromagnetic materials and structures, electromagnetic fluids, magnetoelastic effects and magnetosolid mechanics, magnetic levitations, electromagnetic propulsion, bioelectromagnetics, and inverse problems in electromagnetics. The editorial policy is to combine information and experience from both the latest high technology fields and as well as the well-established technologies within applied electromagnetics.