Classification of chemical species for nuclear reactor inspections using SWIR hyperspectral imaging

Alexandre Fong; George Shu; Bruce Greer; Nicholas Brummitt

doi:10.1117/12.2617323

31 May 2022 Classification of chemical species for nuclear reactor inspections using SWIR hyperspectral imaging

Alexandre Fong, George Shu, Bruce Greer, Nicholas Brummitt

Proceedings Volume 12094, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVIII; 120940J (2022) https://doi.org/10.1117/12.2617323
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

Leakage in pressurized water nuclear reactors (PWRs) poses potentially serious health and safety threats to workers, residents, and the public at large. Early detection and prompt reparative actions of such breaches are critical to both maintaining a secure reliable power supply and ensuring the public’s confidence in the safe operation of commercial nuclear power generation. Currently many components are inspected using visual examinations performed directly by examination personnel or by remote methods using cameras. When indications of leakage are determined to be relevant, additional methods such as chemistry and isotopic analysis are needed for characterization and source determination. This laboratory-based analysis is a burden on resources that may be able to be avoided by the deployment of enhanced imaging methods. Shortwave infrared (SWIR) hyperspectral imaging offers a potential means to characterize chemical species deposits, determine sources and avoid the need for burdensome substance sampling and laboratory analysis. This technique has shown excellent promise for identifying various chemical species in many industrial applications that may otherwise not be differentiable by conventional imaging or by eye. Recent developments in Fabry-Perot interferometerbased hyperspectral imaging have enabled near real-time image capture and classification, thus further expanding the utility of the technology and automating it for use in hazardous environments when paired with robotic platforms such as magnetic crawlers.

Conference Presentation

Citation Download Citation

Alexandre Fong, George Shu, Bruce Greer, and Nicholas Brummitt "Classification of chemical species for nuclear reactor inspections using SWIR hyperspectral imaging", Proc. SPIE 12094, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVIII, 120940J (31 May 2022); https://doi.org/10.1117/12.2617323

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