3 papers
eess.SP2026
From Time to Channels: Robust and Efficient Local Flaw Detection in Steel Wire Ropes Using Tri-Axis MFL Signals
Siyu You, Yibo Zhang, Shengbo Xu +6
Steel wire ropes (SWRs) are critical load-bearing components whose local flaws (LFs) pose serious safety risks. Magnetic flux leakage (MFL) inspection commonly detects LFs from tem…
eess.SP2025
A Signal Matrix-Based Local Flaw Detection Framework for Steel Wire Ropes Using Convolutional Neural Networks
Siyu You, Leilei Yang, Zixu Kuang +3
Steel wire ropes (SWRs) are critical load-bearing components in industrial applications, yet their structural integrity is often compromised by local flaws (LFs). Magnetic Flux Lea…
eess.IV2025
Local Flaw Detection with Adaptive Pyramid Image Fusion Across Spatial Sampling Resolution for SWRs
Siyu You, Huayi Gou, Leilei Yang +2
The inspection of local flaws (LFs) in Steel Wire Ropes (SWRs) is crucial for ensuring safety and reliability in various industries. Magnetic Flux Leakage (MFL) imaging is commonly…