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Autor principal: Smyth, Šárka
Formato: Recurso digital
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Publicado: Zenodo 2025
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Acceso en línea:https://doi.org/10.5281/zenodo.17071596
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author Smyth, Šárka
author_facet Smyth, Šárka
contents <p>The <strong>Shark-Canary Index (SCI)</strong> is a proactive early-warning method for condensation films on high-voltage and optical surfaces. Unlike conventional humidity sensors, which react only after condensation forms, SCI detects films at their incipient stage using a witness plate, LED illumination, and camera imaging. By combining optical metrics with dew-point margin into a traffic-light alert, SCI provides <strong>12–48 hours of lead time</strong> for purge or warm-dry actions, reducing HV trips and haze events while complementing existing climate-control systems.</p>
format Recurso digital
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spellingShingle The Shark-Canary Index (SCI): Early HV Trip Prediction from Thin-Film Moisture
Smyth, Šárka
Shark-Canary Index
SCI
early warning
predictive maintenance
high voltage (HV)
nuisance trips
optical haze
Particle Accelerators
Particle accelerator
vacuum systems
dew-point margin
halo ring ratio (HRR)
sharpness figure of merit (pFOM)
reliability engineering
accelerators
<p>The <strong>Shark-Canary Index (SCI)</strong> is a proactive early-warning method for condensation films on high-voltage and optical surfaces. Unlike conventional humidity sensors, which react only after condensation forms, SCI detects films at their incipient stage using a witness plate, LED illumination, and camera imaging. By combining optical metrics with dew-point margin into a traffic-light alert, SCI provides <strong>12–48 hours of lead time</strong> for purge or warm-dry actions, reducing HV trips and haze events while complementing existing climate-control systems.</p>
title The Shark-Canary Index (SCI): Early HV Trip Prediction from Thin-Film Moisture
topic Shark-Canary Index
SCI
early warning
predictive maintenance
high voltage (HV)
nuisance trips
optical haze
Particle Accelerators
Particle accelerator
vacuum systems
dew-point margin
halo ring ratio (HRR)
sharpness figure of merit (pFOM)
reliability engineering
accelerators
url https://doi.org/10.5281/zenodo.17071596