Anomaly Detection in Railway Tracks Using Hybrid Clustering and Spectral Analysis for Predictive Maintenance

Efficient railway track maintenance is critical for safety, operational reliability, and cost-effective asset management. While traditional inspection methods are well-established and comply with safety regulations, they face challenges in providing continuous, real-time monitoring capabilities that...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Juan Pineda-Jaramillo, Federico Bigi, Ignacio Villalba-Sanchis, Pablo Salvador-Zuriaga
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Railway infrastructure management predictive maintenance anomaly detection spectral analysis unsupervised learning transport operations
Online Access:	https://ieeexplore.ieee.org/document/11168253/