A Non-Intrusive Monitoring System on Train Pantographs for the Maintenance of Overhead Contact Lines
The condition monitoring of an overhead contact line (OCL) is investigated by developing an innovative monitoring system for a pantograph on an electrical multiple unit of a regional line. Kinematic and dynamic modelling of the pantograph is conducted to support the designed monitoring system. The m...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/18/7890 |
| _version_ | 1827723557193383936 |
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| author | Borja Rodríguez-Arana Pablo Ciáurriz Nere Gil-Negrete Unai Alvarado |
| author_facet | Borja Rodríguez-Arana Pablo Ciáurriz Nere Gil-Negrete Unai Alvarado |
| author_sort | Borja Rodríguez-Arana |
| collection | DOAJ |
| description | The condition monitoring of an overhead contact line (OCL) is investigated by developing an innovative monitoring system for a pantograph on an electrical multiple unit of a regional line. Kinematic and dynamic modelling of the pantograph is conducted to support the designed monitoring system. The modelling is proved through rigorous test-rig experiments, while the proposed methodology is then validated through extensive field tests. The field tests serve a dual purpose: First, to validate the monitoring system using benchmark measurements of the tCat<sup>®</sup> trolley, and second, to assess the reproducibility of measurements in a realistic case. This paper presents the OCL monitoring system developed in the framework of the H2020 project SIA. The accuracy of our results is not far from that of other commercial systems, with just 12 mm of absolute error in the height measurement. Therefore, they provide reliable information about trends in various key performance indicators (KPIs) that facilitates the early detection of failures and the diagnosis of anomalies. The results highlight the importance of model calibration and validation in enabling novel health monitoring capabilities for the pantograph. By continuously monitoring the parameters and tracking their degradation trends, our approach allows for optimized scheduling of maintenance tasks for the OCL. |
| first_indexed | 2024-03-10T22:02:25Z |
| format | Article |
| id | doaj.art-7a3fbb623b8545279d59dc8748e93293 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T22:02:25Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-7a3fbb623b8545279d59dc8748e932932023-11-19T12:55:38ZengMDPI AGSensors1424-82202023-09-012318789010.3390/s23187890A Non-Intrusive Monitoring System on Train Pantographs for the Maintenance of Overhead Contact LinesBorja Rodríguez-Arana0Pablo Ciáurriz1Nere Gil-Negrete2Unai Alvarado3Ceit-Basque Research and Technology Alliance (BRTA), Manuel Lardizabal 15, 20018 Donostia/San Sebastián, SpainCeit-Basque Research and Technology Alliance (BRTA), Manuel Lardizabal 15, 20018 Donostia/San Sebastián, SpainUniversidad de Navarra, Tecnun, Manuel Lardizabal 13, 20018 Donostia/San Sebastián, SpainCeit-Basque Research and Technology Alliance (BRTA), Manuel Lardizabal 15, 20018 Donostia/San Sebastián, SpainThe condition monitoring of an overhead contact line (OCL) is investigated by developing an innovative monitoring system for a pantograph on an electrical multiple unit of a regional line. Kinematic and dynamic modelling of the pantograph is conducted to support the designed monitoring system. The modelling is proved through rigorous test-rig experiments, while the proposed methodology is then validated through extensive field tests. The field tests serve a dual purpose: First, to validate the monitoring system using benchmark measurements of the tCat<sup>®</sup> trolley, and second, to assess the reproducibility of measurements in a realistic case. This paper presents the OCL monitoring system developed in the framework of the H2020 project SIA. The accuracy of our results is not far from that of other commercial systems, with just 12 mm of absolute error in the height measurement. Therefore, they provide reliable information about trends in various key performance indicators (KPIs) that facilitates the early detection of failures and the diagnosis of anomalies. The results highlight the importance of model calibration and validation in enabling novel health monitoring capabilities for the pantograph. By continuously monitoring the parameters and tracking their degradation trends, our approach allows for optimized scheduling of maintenance tasks for the OCL.https://www.mdpi.com/1424-8220/23/18/7890pantograph–catenary interactioninfrastructure monitoringrailwayexperimental results |
| spellingShingle | Borja Rodríguez-Arana Pablo Ciáurriz Nere Gil-Negrete Unai Alvarado A Non-Intrusive Monitoring System on Train Pantographs for the Maintenance of Overhead Contact Lines Sensors pantograph–catenary interaction infrastructure monitoring railway experimental results |
| title | A Non-Intrusive Monitoring System on Train Pantographs for the Maintenance of Overhead Contact Lines |
| title_full | A Non-Intrusive Monitoring System on Train Pantographs for the Maintenance of Overhead Contact Lines |
| title_fullStr | A Non-Intrusive Monitoring System on Train Pantographs for the Maintenance of Overhead Contact Lines |
| title_full_unstemmed | A Non-Intrusive Monitoring System on Train Pantographs for the Maintenance of Overhead Contact Lines |
| title_short | A Non-Intrusive Monitoring System on Train Pantographs for the Maintenance of Overhead Contact Lines |
| title_sort | non intrusive monitoring system on train pantographs for the maintenance of overhead contact lines |
| topic | pantograph–catenary interaction infrastructure monitoring railway experimental results |
| url | https://www.mdpi.com/1424-8220/23/18/7890 |
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