Machine-Learning-Based Diagnostic Framework for Passive Ultrasonic Detection of Railway Wheel Defects

arXiv:2608.08301 · cs.LG, cs.RO, eess.SP · Submitted 2026-08-08 · Read on arXiv

Aashish Shaju, Steve Southward, Mehdi Ahmadian

cs.LG, cs.RO, eess.SP

Submitted: 2026-08-08

Updated: 2026-08-11

Comments: Presented at the ASNT Research Symposium 2026, Salt Lake City, Utah, July 20-24, 2026

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 7× in this paper · explained in 1 episode
• F1 Score — 4× in this paper · explained in 4 episodes
• Mutual Information — 3× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Class Imbalance — 1× in this paper · explained in 3 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Data Leakage — 1× in this paper · explained in 2 episodes
• Feature Engineering — 1× in this paper · explained in 3 episodes
• Feature Extraction — 1× in this paper · explained in 3 episodes
• Feature Importance — 1× in this paper · explained in 2 episodes
• Feature Selection — 1× in this paper · explained in 4 episodes
• Mutual Information (MI) — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 6 episodes
• XGBoost — 1× in this paper · explained in 3 episodes

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