Presentation
13 June 2022 Enhanced humidity detection in multilayer components by passive multivariate infrared thermography
Author Affiliations +
Abstract
Trapped humidity is a deleterious condition in several industrial sectors. Beyond reducing performance in process industry, it can create or accelerate structural damage mechanisms like corrosion, where thermally insulated equipment are the main concerning structures. Underneath the insulation, the corrosion evolves invisible at uncontrolled rates until leakage or more catastrophic failure occurs. The aim of this work is then to establish a passive thermographic technique to be deployed in such environments that can reliably detect trapped humidity. The Multivariate Thermography, based on the Partial Least-Squares regression, can efficiently separate indications from different physical phenomena and drastically reduce the effect of surface finish on the detectability. Preliminary results are encouraging to potentially extend the applicability of thermography to considerably low levels of surface emissivity and reduce the incidence of false positives in thermographic inspection.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Marcos Souza, Fernando Lopez, and Xavier Maldague "Enhanced humidity detection in multilayer components by passive multivariate infrared thermography", Proc. SPIE PC12109, Thermosense: Thermal Infrared Applications XLIV, (13 June 2022); https://doi.org/10.1117/12.2615802
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KEYWORDS
Humidity

Thermography

Corrosion

Inspection

Data acquisition

Inspection equipment

Physical phenomena

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