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Steinberg, Dominik (2023) Condition Monitoring for Heliostat Fields Using Artificial Intelligence. Wissensaustauschworkshop on Machine Learning (WAW), 2023-11-13 - 2023-11-16, Ulm, Deutschland.
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Abstract
This poster contribution aims to provide an overview on a planned project to develop a condition monitoring for the heliostat field of a solar tower power plant. An outlook on a new methodology focusing on machine-learning-based evaluation of time series (virtual) sensor data from heliostat drives, motors and controller units is presented.
| Item URL in elib: | https://elib.dlr.de/202229/ | ||||||||
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| Document Type: | Conference or Workshop Item (Poster) | ||||||||
| Title: | Condition Monitoring for Heliostat Fields Using Artificial Intelligence | ||||||||
| Authors: |
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| Date: | November 2023 | ||||||||
| Refereed publication: | No | ||||||||
| Open Access: | Yes | ||||||||
| Gold Open Access: | No | ||||||||
| In SCOPUS: | No | ||||||||
| In ISI Web of Science: | No | ||||||||
| Status: | Published | ||||||||
| Keywords: | Condition Monitoring, Predictive Maintenance, Heliostat, Heliostat fields, Artificial Intelligence, Machine Learning, Data Analysis, Ageing effects, Fault detection, Central receiver, Solar power tower, CSP | ||||||||
| Event Title: | Wissensaustauschworkshop on Machine Learning (WAW) | ||||||||
| Event Location: | Ulm, Deutschland | ||||||||
| Event Type: | Workshop | ||||||||
| Event Start Date: | 13 November 2023 | ||||||||
| Event End Date: | 16 November 2023 | ||||||||
| HGF - Research field: | Energy | ||||||||
| HGF - Program: | Materials and Technologies for the Energy Transition | ||||||||
| HGF - Program Themes: | High-Temperature Thermal Technologies | ||||||||
| DLR - Research area: | Energy | ||||||||
| DLR - Program: | E SW - Solar and Wind Energy | ||||||||
| DLR - Research theme (Project): | E - Condition Monitoring | ||||||||
| Location: | Jülich | ||||||||
| Institutes and Institutions: | Institute of Solar Research > Qualification | ||||||||
| Deposited By: | Steinberg, Dominik | ||||||||
| Deposited On: | 26 Jan 2024 11:09 | ||||||||
| Last Modified: | 27 May 2024 14:35 |
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