Corrosion defect extraction in ferromagnetic materials based on array pulsed eddy current.
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| Title: | Corrosion defect extraction in ferromagnetic materials based on array pulsed eddy current. |
|---|---|
| Authors: | Gao, Peng1,2 penggao@tju.edu.cn, Guo, Jiatao1, Li, Chuanhao1, Ni, Runze1, Li, Chaoyue3 |
| Source: | Insight: Non-Destructive Testing & Condition Monitoring. Jun2026, Vol. 68 Issue 6, p366-373. 8p. |
| Subjects: | Eddy current testing, Ferromagnetic materials, Image segmentation, Sensor arrays, Pitting corrosion, Nondestructive testing, Industrial applications |
| Abstract: | Pulsed eddy current testing (PECT) is an efficient non-destructive electromagnetic testing method that is widely used in industrial fields for defect identification and metal corrosion detection. However, conventional methods often lack an accurate defect extraction strategy after detection imaging. In this study, the relationship between the slope of the attenuation phase (SAP) of the semilogarithmic transformed detection voltage and the specimen thickness is established using a single probe. Subsequently, an array sensor is employed to scan ferromagnetic specimens with circular hole defects. A 4 × 17 sampling matrix is constructed and visualised using pseudo-colour imaging for intuitive defect visualisation. To improve resolution, bicubic interpolation is applied. Three segmentation algorithms, Otsu, Gaussian mixture model (GMM) and double-threshold region growing (DTRG), are applied for defect extraction. The experimental results demonstrate that the proposed method enables accurate defect imaging, with the DTRG algorithm achieving a detection error below 5%. This approach offers an effective solution for corrosion detection in cladding pipes and pressure vessels, showing strong potential for industrial applications. [ABSTRACT FROM AUTHOR] |
| Copyright of Insight: Non-Destructive Testing & Condition Monitoring is the property of British Institute of Non-Destructive Testing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 194538788 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Corrosion defect extraction in ferromagnetic materials based on array pulsed eddy current. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Gao%2C+Peng%22">Gao, Peng</searchLink><relatesTo>1,2</relatesTo><i> penggao@tju.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Guo%2C+Jiatao%22">Guo, Jiatao</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Li%2C+Chuanhao%22">Li, Chuanhao</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Ni%2C+Runze%22">Ni, Runze</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Li%2C+Chaoyue%22">Li, Chaoyue</searchLink><relatesTo>3</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Insight%3A+Non-Destructive+Testing+%26+Condition+Monitoring%22">Insight: Non-Destructive Testing & Condition Monitoring</searchLink>. Jun2026, Vol. 68 Issue 6, p366-373. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Eddy+current+testing%22">Eddy current testing</searchLink><br /><searchLink fieldCode="DE" term="%22Ferromagnetic+materials%22">Ferromagnetic materials</searchLink><br /><searchLink fieldCode="DE" term="%22Image+segmentation%22">Image segmentation</searchLink><br /><searchLink fieldCode="DE" term="%22Sensor+arrays%22">Sensor arrays</searchLink><br /><searchLink fieldCode="DE" term="%22Pitting+corrosion%22">Pitting corrosion</searchLink><br /><searchLink fieldCode="DE" term="%22Nondestructive+testing%22">Nondestructive testing</searchLink><br /><searchLink fieldCode="DE" term="%22Industrial+applications%22">Industrial applications</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Pulsed eddy current testing (PECT) is an efficient non-destructive electromagnetic testing method that is widely used in industrial fields for defect identification and metal corrosion detection. However, conventional methods often lack an accurate defect extraction strategy after detection imaging. In this study, the relationship between the slope of the attenuation phase (SAP) of the semilogarithmic transformed detection voltage and the specimen thickness is established using a single probe. Subsequently, an array sensor is employed to scan ferromagnetic specimens with circular hole defects. A 4 × 17 sampling matrix is constructed and visualised using pseudo-colour imaging for intuitive defect visualisation. To improve resolution, bicubic interpolation is applied. Three segmentation algorithms, Otsu, Gaussian mixture model (GMM) and double-threshold region growing (DTRG), are applied for defect extraction. The experimental results demonstrate that the proposed method enables accurate defect imaging, with the DTRG algorithm achieving a detection error below 5%. This approach offers an effective solution for corrosion detection in cladding pipes and pressure vessels, showing strong potential for industrial applications. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Insight: Non-Destructive Testing & Condition Monitoring is the property of British Institute of Non-Destructive Testing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1784/insi.2026.68.6.366 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 366 Subjects: – SubjectFull: Eddy current testing Type: general – SubjectFull: Ferromagnetic materials Type: general – SubjectFull: Image segmentation Type: general – SubjectFull: Sensor arrays Type: general – SubjectFull: Pitting corrosion Type: general – SubjectFull: Nondestructive testing Type: general – SubjectFull: Industrial applications Type: general Titles: – TitleFull: Corrosion defect extraction in ferromagnetic materials based on array pulsed eddy current. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gao, Peng – PersonEntity: Name: NameFull: Guo, Jiatao – PersonEntity: Name: NameFull: Li, Chuanhao – PersonEntity: Name: NameFull: Ni, Runze – PersonEntity: Name: NameFull: Li, Chaoyue IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 13542575 Numbering: – Type: volume Value: 68 – Type: issue Value: 6 Titles: – TitleFull: Insight: Non-Destructive Testing & Condition Monitoring Type: main |
| ResultId | 1 |
