.png){kind=icon}
Return
Geometry-aware misalignment-robust defect analysis framework for PAUT
.png){kind=icon}
PRE
AI
DOI：10.1016/j.measurement.2026.121477.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• A geometry-aware framework for misalignment-robust PAUT defect analysis. • Weld boundary–guided region normalization improves analysis consistency. • Geometry-normalized spatial deviation compensates systematic spatial bias. • SE-enhanced representation stabilizes defect analysis under geometric variability. • Consistent performance gains validated through ablation analysis.
Keywords:
PAUT
defect analysis
geometry-aware
misalignment-robust
spatial deviation
Journal
IF:
5.6
Papers:
2.1W
Citations:
5.4W
Organization
Cited Papers
ShareSaveUtilizing improved YOLOv8 based on SPD-BRSA-AFPN for ultrasonic phased array non-destructive testing.png)
ULTRASONICS
ULTRASONICSIF4.1
PREAI
ShareSaveAutomated weld defect segmentation from phased array ultrasonic data based on U-net architecture
PREAI
ShareSaveThe detection of PAUT pseudo defects in ultra-thick stainless-steel welds with a multimodal deep learning modelMEASUREMENT
MEASUREMENTIF5.6
PREAI
ShareSaveShareSaveShareSave
View more