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Principal Component Analysis based Corrosion Characterization under Coating Using Pulse Thermography

Peilin Hui, Qiuji Yi, Changrong Yang, Lei Zhang, Wenjie Li, Gui Yun Tian

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 languageEnglish
Title of host publication2025 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
Place of PublicationPiscataway, US
PublisherIEEE
Pages1-5
Number of pages5
ISBN (Electronic)9798331505004
ISBN (Print)9798331505011
DOIs
Publication statusPublished - 19 May 2025
EventI2MTC25 - Chemnitz, Germany
Duration: 19 May 202522 May 2025
https://i2mtc2025.ieee-ims.org/

Publication series

NameIEEE International Instrumentation and Measurement Technology Conference
PublisherIEEE
ISSN (Print)2642-2069
ISSN (Electronic)2642-2077

Conference

ConferenceI2MTC25
Country/TerritoryGermany
CityChemnitz
Period19/05/2522/05/25
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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