Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/164506
Title: Hyperspectral vision based probe for in situ corrosion monitoring in saline environments
Authors: Antony, Maria Merin
Suchand Sandeep, Chandramathi Sukumaran
Lim, Hoong-Ta
Vadakke Matham, Murukeshan
Keywords: Science::Physics::Optics and light
Issue Date: 2022
Source: Antony, M. M., Suchand Sandeep, C. S., Lim, H. & Vadakke Matham, M. (2022). Hyperspectral vision based probe for in situ corrosion monitoring in saline environments. IEEE Transactions On Instrumentation and Measurement, 71, 5026307-. https://dx.doi.org/10.1109/TIM.2022.3221115
Project: SFS_RND_SUFP_001_03 
Journal: IEEE Transactions on Instrumentation and Measurement 
Abstract: 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.
URI: https://hdl.handle.net/10356/164506
ISSN: 0018-9456
DOI: 10.1109/TIM.2022.3221115
Schools: School of Mechanical and Aerospace Engineering 
Research Centres: Centre for Optical and Laser Engineering 
Rights: © 2022 IEEE. All rights reserved. This article may be downloaded for personal use only. Any other use requires prior permission of the copyright holder. The Version of Record is available online at http://doi.org/10.1109/TIM.2022.3221115.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles

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