Development of Corrosion Severity Assessment Algorithms Using Environmental Monitoring Sensors in Naval Aviation Environments

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Currently, Naval aircraft are inspected for corrosion based on Reliability Centered Maintenance analysis of component failure rates in a feedback loop scheme. Recently developed sensors allow for the measurement and recording of temperature, relative humidity, and solution conductivity in 30 minute intervals. These sensors were deployed collocated with corrosion witness coupons across two 1-year deployments spanning 26 naval aviation relevant locations. Features were engineered from the sensor data, and algorithms were trained to predict the mass loss observed on the collocated witness coupons. Using leave-one-out-cross-validation, the highest performing algorithms possessed an accuracy of 77% in the classification of site corrosion severity based on Aermet 100 mass loss, a landing gear high strength steel.

Product Number: 51324-20663-SG

Author: Alexander Lilly; Steven Kopitzke; Ian Long

Publication Date: 2024

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Development of Corrosion Severity Assessment Algorithms Using Environmental Monitoring Sensors in Naval Aviation Environments

Association for Materials Protection and Performance