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

  • Maria Merin Antony
  • , C. S.Suchand Sandeep
  • , Hoong Ta Lim
  • , Murukeshan Vadakke Matham*
  • *Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    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.

    Original languageEnglish
    Article number5026307
    JournalIEEE Transactions on Instrumentation and Measurement
    Volume71
    DOIs
    Publication statusPublished - 2022

    All Science Journal Classification (ASJC) codes

    • Instrumentation
    • Electrical and Electronic Engineering

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