First Measurement Campaign by a Multi-Sensor Robot for the Lifecycle Monitoring of Transformers
Transformers are a very important asset in the electrical transmission grid, and they can suffer from destructive events—e.g., rare transformer fires. Unfortunately, destructive events often lead to a lack of data available for investigators during post-event forensics and failure analysis. This fac...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-02-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/17/5/1152 |
| _version_ | 1797264600311267328 |
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| author | Jakub Waikat Amel Jelidi Sandro Lic Georgios Sopidis Olaf Kähler Anna Maly Jesús Pestana Ferdinand Fuhrmann Fredi Belavić |
| author_facet | Jakub Waikat Amel Jelidi Sandro Lic Georgios Sopidis Olaf Kähler Anna Maly Jesús Pestana Ferdinand Fuhrmann Fredi Belavić |
| author_sort | Jakub Waikat |
| collection | DOAJ |
| description | Transformers are a very important asset in the electrical transmission grid, and they can suffer from destructive events—e.g., rare transformer fires. Unfortunately, destructive events often lead to a lack of data available for investigators during post-event forensics and failure analysis. This fact has motivated our design and implementation of a robotic multi-sensor platform and cloud backend solution for the lifecycle monitoring, inspection, diagnostics, and condition assessment of transformers. The robotic platform collects data from specific viewpoints around the transformer during operation and at specific relevant lifecycle milestones of the transformer (e.g., at the factory acceptance test) in an automated, repetitive, precise, and reliable manner. The acquired data are stored in the cloud backend, which also provides computing resources and data access to relevant in- and off-premises services (e.g., respectively, SCADA systems, and weather reports). In this paper, we present the results of our first measurement campaign to showcase the value of our solution for transformer lifecycle monitoring, for anomaly detection, and as a crucial tool for post-event forensics in the case of destructive events. |
| first_indexed | 2024-04-25T00:31:29Z |
| format | Article |
| id | doaj.art-bb64b71e45dc4019a87afc2105494579 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-25T00:31:29Z |
| publishDate | 2024-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-bb64b71e45dc4019a87afc21054945792024-03-12T16:43:32ZengMDPI AGEnergies1996-10732024-02-01175115210.3390/en17051152First Measurement Campaign by a Multi-Sensor Robot for the Lifecycle Monitoring of TransformersJakub Waikat0Amel Jelidi1Sandro Lic2Georgios Sopidis3Olaf Kähler4Anna Maly5Jesús Pestana6Ferdinand Fuhrmann7Fredi Belavić8Siemens Energy Austria GmbH, 1210 Wien, AustriaPro2Future GmbH, 8010 Graz, AustriaPro2Future GmbH, 8010 Graz, AustriaPro2Future GmbH, 8010 Graz, AustriaJoanneum Research, 8010 Graz, AustriaJoanneum Research, 8010 Graz, AustriaPro2Future GmbH, 8010 Graz, AustriaJoanneum Research, 8010 Graz, AustriaAustrian Power Grid, 1220 Wien, AustriaTransformers are a very important asset in the electrical transmission grid, and they can suffer from destructive events—e.g., rare transformer fires. Unfortunately, destructive events often lead to a lack of data available for investigators during post-event forensics and failure analysis. This fact has motivated our design and implementation of a robotic multi-sensor platform and cloud backend solution for the lifecycle monitoring, inspection, diagnostics, and condition assessment of transformers. The robotic platform collects data from specific viewpoints around the transformer during operation and at specific relevant lifecycle milestones of the transformer (e.g., at the factory acceptance test) in an automated, repetitive, precise, and reliable manner. The acquired data are stored in the cloud backend, which also provides computing resources and data access to relevant in- and off-premises services (e.g., respectively, SCADA systems, and weather reports). In this paper, we present the results of our first measurement campaign to showcase the value of our solution for transformer lifecycle monitoring, for anomaly detection, and as a crucial tool for post-event forensics in the case of destructive events.https://www.mdpi.com/1996-1073/17/5/1152transformerlifecycle-monitoringelectric transmission gridservice roboticsanomaly detectioninternet of things |
| spellingShingle | Jakub Waikat Amel Jelidi Sandro Lic Georgios Sopidis Olaf Kähler Anna Maly Jesús Pestana Ferdinand Fuhrmann Fredi Belavić First Measurement Campaign by a Multi-Sensor Robot for the Lifecycle Monitoring of Transformers Energies transformer lifecycle-monitoring electric transmission grid service robotics anomaly detection internet of things |
| title | First Measurement Campaign by a Multi-Sensor Robot for the Lifecycle Monitoring of Transformers |
| title_full | First Measurement Campaign by a Multi-Sensor Robot for the Lifecycle Monitoring of Transformers |
| title_fullStr | First Measurement Campaign by a Multi-Sensor Robot for the Lifecycle Monitoring of Transformers |
| title_full_unstemmed | First Measurement Campaign by a Multi-Sensor Robot for the Lifecycle Monitoring of Transformers |
| title_short | First Measurement Campaign by a Multi-Sensor Robot for the Lifecycle Monitoring of Transformers |
| title_sort | first measurement campaign by a multi sensor robot for the lifecycle monitoring of transformers |
| topic | transformer lifecycle-monitoring electric transmission grid service robotics anomaly detection internet of things |
| url | https://www.mdpi.com/1996-1073/17/5/1152 |
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