Hyperspectral Vision Based Probe for In Situ Corrosion Monitoring in Saline Environments

Autor: Maria Merin Antony, C. S. Suchand Sandeep, Hoong-Ta Lim, Murukeshan Vadakke Matham
Přispěvatelé: School of Mechanical and Aerospace Engineering, Centre for Optical and Laser Engineering
Rok vydání: 2022
Předmět:
Zdroj: IEEE Transactions on Instrumentation and Measurement. 71:1-7
ISSN: 1557-9662
0018-9456
DOI: 10.1109/tim.2022.3221115
Popis: Corrosion is a major concern in various engineering fields. Early detection of corrosion helps in reducing the risk associated with the failure of metal structures invaded by corrosion. Though several techniques exist for monitoring corrosion, most of these techniques are contact-based and tend to be destructive in nature. In addition, only a few of these techniques can provide fast, point-by-point analysis of corrosion. In this article, we propose and demonstrate a novel corrosion inspection probe with integrated illumination for the sensitive monitoring of corrosion along each point of an area under inspection based on snapshot hyperspectral (HS) vision. Being a small and flexible probe, it can be used for monitoring corrosion in difficult-to-access locations. The experimental results correlate well with the standard corrosion prediction model and are also validated by spectroscopic Raman analysis. The possibility of incorporating automated corrosion monitoring based on machine vision as the future development of the probe is also highlighted. Nanyang Technological University National Research Foundation (NRF) Singapore Food Agency This work was supported in part by the National Research Foundation, Singapore and the Singapore Food Agency, through its Singapore Food Story Research Development Programme (Theme 1: Sustainable Urban Food Production) under Grant SFS_RND_SUFP_001_03; and in part by COLE-EDB funding at the Centre for Optical and Laser Engineering, Nanyang Technological University.
Databáze: OpenAIRE
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