Hyperspectral Imaging Based Corrosion Detection in Nuclear Packages

腐蚀 高光谱成像 VNIR公司 材料科学 放射性废物 无损检测 点蚀 遥感 冶金 环境科学 地质学 废物管理 工程类 物理 量子力学
作者
Jaime Zabalza,Paul Murray,Stuart Bennett,Andrew James Campbell,Stephen Marshall,Jinchang Ren,Yijun Yan,Robert Bernard,Steve Hepworth,Simon Malone,Neil Cockbain,Douglas Offin,Craig Holliday
出处
期刊:IEEE Sensors Journal [IEEE Sensors Council]
卷期号:23 (21): 25607-25617 被引量:11
标识
DOI:10.1109/jsen.2023.3312938
摘要

In the Sellafield nuclear site, intermediate level waste and special nuclear material is stored above ground in stainless steel packages or containers, with thousands expected to be stored for several decades before permanent disposal in a geological disposal facility. During this intermediate storage, the packages are susceptible to corrosion, which can potentially undermine their structural integrity. Therefore, long term monitoring is required. In this work, hyperspectral imaging (HSI) was evaluated as a non-destructive tool for detecting corrosion on stainless steel surfaces. Real samples from Sellafield, including stainless steel 1.4404 (known as 316L) and 2205 plates from the Sellafield atmospheric testing corrosion site, were imaged in the experiments, measuring the spectral responses for corrosion in the visible near-infrared (VNIR, 400-1000 nm) and short-wave-infrared (SWIR, 900-2500 nm) regions. Based on the spectral responses observed, a new concept denoted as Corrosion Index (Ci) was introduced and evaluated to estimate corrosion maps. With the CI, every pixel in the hyperspectral image is given a value between zero and one, aimed at representing corrosion intensity for a given location of the sample. Results suggest that HSI, combined with our proposed CI analysis techniques, could be used for effective automated detection of corrosion in nuclear packages.
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