Abstract
In this paper, pulse thermography is applied to characterize corrosion under coatings. Samples with varying corrosion conditions are tested. A Moving Average Temporal Filter (MATF) is employed to denoise the thermal signals, while Principal Component Analysis (PCA) is used to separate excitation lamp information from corrosion patch data. In the Principal Component (PC) images, PC1 predominantly captures excitation lamp information, while the other components are unaffected. The presence of corrosion disrupts the uniformity of thermal conduction within the material. To quantify this effect, two 2D features—standard deviation (STD) and mean absolute deviation (MAD)—are extracted from the PC2 image. The results show that these features exhibit high sensitivity and robustness, making them effective for this application.
| Original language | English |
|---|---|
| Title of host publication | 2025 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) |
| Place of Publication | Piscataway, US |
| Publisher | IEEE |
| Pages | 1-5 |
| Number of pages | 5 |
| ISBN (Electronic) | 9798331505004 |
| ISBN (Print) | 9798331505011 |
| DOIs | |
| Publication status | Published - 19 May 2025 |
| Event | I2MTC25 - Chemnitz, Germany Duration: 19 May 2025 → 22 May 2025 https://i2mtc2025.ieee-ims.org/ |
Publication series
| Name | IEEE International Instrumentation and Measurement Technology Conference |
|---|---|
| Publisher | IEEE |
| ISSN (Print) | 2642-2069 |
| ISSN (Electronic) | 2642-2077 |
Conference
| Conference | I2MTC25 |
|---|---|
| Country/Territory | Germany |
| City | Chemnitz |
| Period | 19/05/25 → 22/05/25 |
| Internet address |
Keywords
- pulse thermography (PT)
- principal component analysis (PCA)
- standard deviation (STD)
- mean absolute deviation (MAD)
- corrosion characterization under coating
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