Facilitating detection and sizing of crack defects in pipes by 3D K-means clustering

Simple item page
dc.contributor.authorMazinani, Fatemeh
dc.contributor.supervisorRakhmatov, Daler N.
dc.date.accessioned2025-01-02T20:06:37Z
dc.date.available2025-01-02T20:06:37Z
dc.date.issued2024
dc.degree.departmentDepartment of Electrical and Computer Engineering
dc.degree.levelMaster of Applied Science MASc
dc.description.abstractThis thesis presents a novel approach for detection and sizing of surface-breaking crack defects in pipes using 3D K-Means clustering of ultrasound imaging data. The proposed method processes volumetric ultrasound data (obtained from a moving transducer array inside a pipe) to identify distinct clusters, effectively reducing noise and isolating critical crack-related features. Experimental validation has been performed on three pipe samples with different crack sizes and locations. The results show that 3D K-Means clustering improves crack detection and sizing, outperforming 2D K-means clustering in most cases. This research contributes to the field of ultrasonic nondestructive testing by providing an efficient solution for assessing the structural integrity of critical infrastructure components, such as pipelines.
dc.description.embargo2025-12-16
dc.description.scholarlevelGraduate
dc.identifier.urihttps://hdl.handle.net/1828/20900
dc.languageEnglisheng
dc.language.isoen
dc.rightsAvailable to the World Wide Web
dc.subjectk-means clustering
dc.titleFacilitating detection and sizing of crack defects in pipes by 3D K-means clustering
dc.typeThesis

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Mazinani_Fatemeh_PhD_2024.pdf
Size:
1.92 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.62 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Electronic Theses and Dissertations (ETD)
Theses (Electrical and Computer Engineering)
 
University of Victoria Libraries

We acknowledge and respect the Lək̓ʷəŋən (Songhees and Esquimalt) Peoples on whose territory the university stands, and the Lək̓ʷəŋən and W̱SÁNEĆ Peoples whose historical relationships with the land continue to this day.