Hyperspectral imaging based corrosion detection in nuclear packages

Tools

Zabalza, Jaime and Murray, Paul and Bennett, Stuart and Campbell, Andrew and Marshall, Stephen and Ren, Jinchang and Yan, Yijun and Bernard, Robert and Hepworth, Steve and Malone, Simon and Cockbain, Neil and Offin, Douglas and Holliday, Craig (2023) Hyperspectral imaging based corrosion detection in nuclear packages. IEEE Sensors Journal, 23 (21). pp. 25607-25617. ISSN 1530-437X (https://doi.org/10.1109/jsen.2023.3312938)

[thumbnail of Zabalza-etal-IEEE-SJ-2023-Hyperspectral-imaging-based-corrosion-detection]
Preview
 Text. Filename: Zabalza_etal_IEEE_SJ_2023_Hyperspectral_imaging_based_corrosion_detection.pdf
Accepted Author Manuscript
License: Strathprints license 1.0
Download (1MB)| Preview

Abstract

In the Sellafield nuclear site, Cumbria, U.K., intermediate-level waste and special nuclear material are 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 nondestructive 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.

ORCID iDs

Zabalza, Jaime ORCID logoORCID: https://orcid.org/0000-0002-0634-1725, Murray, Paul ORCID logoORCID: https://orcid.org/0000-0002-6980-9276, Bennett, Stuart, Campbell, Andrew ORCID logoORCID: https://orcid.org/0000-0002-5428-4331, Marshall, Stephen ORCID logoORCID: https://orcid.org/0000-0001-7079-5628, Ren, Jinchang ORCID logoORCID: https://orcid.org/0000-0001-6116-3194, Yan, Yijun ORCID logoORCID: https://orcid.org/0000-0003-0224-0078, Bernard, Robert, Hepworth, Steve, Malone, Simon, Cockbain, Neil, Offin, Douglas and Holliday, Craig;
  • Item type:Article
    ID code:86818
    Dates:
    Date
    Event
    1 November 2023
    Published
    18 September 2023
    Published Online
    22 August 2023
    Accepted
    Notes:© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:02 Oct 2023 07:59
    Last modified:18 Dec 2024 20:23
    URI:https://strathprints.strath.ac.uk/id/eprint/86818
CORE (COnnecting REpositories)