Pantograph-Catenary system’s health detected using GPS aligned video data
Anomaly Detection and Localization for the Pantograph-Catenary System
Machine Learning
Summary
The paper addresses the challenge of monitoring the pantograph-catenary system, which is vital for trains' electrical connectivity. Previous methods used videos to track the pantograph's position but ignored where the train was geographically. The authors propose a new approach that aligns the pantograph's measurements with GPS locations and detects unusual patterns that could indicate problems. They tested their method using real data from trains running on Italian railway routes, showing how it helps evaluate the system’s health more accurately.
What this means in practice
- •For railway maintenance teams: Detect anomalies in pantograph-catenary systems more accurately by combining height/stagger data with GPS localization along train routes.
- •For transportation infrastructure managers: Monitor railway route health conditions using collective anomaly detection that factors in geographic position and multiple journeys.
Authors
Francesco Vitale, Hangli Ge, Francesco Flammini
Abstract
Monitoring the Pantograph-Catenary System (PCS) provides insight into the health conditions of the pantograph and the railway infrastructure. Recent industrial solutions trace the pantograph's contact wire height and stagger (PCS height/stagger) using video monitoring through convolutional neural networks. However, these solutions do not account for the train route's geographic location. Therefore, in this paper we propose a novel framework for 1) localization of the PCS height/stagger by alignment with the nominal GPS coordinates of the reference route, and 2) collective anomaly detection to evaluate the health conditions of the PCS. We apply and assess the localization and detection performance of the methodology to a case-study based on a real-world industrial dataset provided by a railway transportation company, which includes the PCS height/stagger of several train journeys across Italian railway routes.