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Authors: Andres Felipe Posada-Moreno 1 ; Thomas Otte 2 ; Damir Pehar 3 ; Marc Haßler 3 ; Holger Bartels 3 ; Anas Abdelrazeq 2 and Frank Hees 2

Affiliations: 1 Institute for Data Science in Mechanical Engineering (DSME), RWTH Aachen University, Germany ; 2 Institute for Information Management in Mechanical Engineering (IMA), RWTH Aachen University, Germany ; 3 Deutsche Bahn (DB) Cargo AG, Frankfurt am Main, Germany

Keyword(s): Rail Transport, Health Estimation, Neural Networks.

Abstract: The increase of integrated logistics is generating the progressive integration of rail transport systems on a global scale. This raises the challenge of the safe and compliant operation of an increasing number of assets. Within this context, inspection of in-service cargo wagons becomes increasingly important. Among the wagon components, the brake pads are essential and must be constantly inspected and timely changed before any failure. This publication presents a novel system for the automated scoring of cargo wagon brakes through image processing and deep learning algorithms. The main goal of this system is to provide insightful information which can improve the observability of assets, as well as enable augmented decision-making in maintenance inspection processes. Through this work, a four-step novel approach is described. First, an image acquisition system was developed. Then, an object detection model is used to extract the important cargo wagon components. Next, images contain ing the extracted brakes are analyzed to extract the most relevant keypoints of the brakes. Finally, the ratio between the distances of multiple keypoints is used to score each brake and provide insightful information regarding their health. After implementation, the proposed approach is tested and the resulting scores are explored. (More)

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Paper citation in several formats:
Posada-Moreno, A.; Otte, T.; Pehar, D.; Haßler, M.; Bartels, H.; Abdelrazeq, A. and Hees, F. (2022). Towards Cargo Wagons Brake Health Scoring through Image Processing. In Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-549-4; ISSN 2184-4313, SciTePress, pages 423-431. DOI: 10.5220/0010824300003122

@conference{icpram22,
author={Andres Felipe Posada{-}Moreno. and Thomas Otte. and Damir Pehar. and Marc Haßler. and Holger Bartels. and Anas Abdelrazeq. and Frank Hees.},
title={Towards Cargo Wagons Brake Health Scoring through Image Processing},
booktitle={Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2022},
pages={423-431},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010824300003122},
isbn={978-989-758-549-4},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Towards Cargo Wagons Brake Health Scoring through Image Processing
SN - 978-989-758-549-4
IS - 2184-4313
AU - Posada-Moreno, A.
AU - Otte, T.
AU - Pehar, D.
AU - Haßler, M.
AU - Bartels, H.
AU - Abdelrazeq, A.
AU - Hees, F.
PY - 2022
SP - 423
EP - 431
DO - 10.5220/0010824300003122
PB - SciTePress