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id title description date_created date_modified date_published original_publication_date publication_doi provider is_published reviews_state version is_latest_version preprint_doi license tags_list tags_data contributors_list contributors_data first_author subjects_list subjects_data download_url has_coi conflict_of_interest_statement has_data_links has_prereg_links prereg_links prereg_link_info last_updated
5qrn3_v1 Big Brother is Watching You: Leveraging Artificial Intelligence for Automated Fuel Cell Monitoring (Technical Report) In this technical report, we present our second-generation digital twin model for monitoring of fuel cells. This digital twin combines two data-driven machine learning models: a stationary model for stationary cell voltage prediction and a degradation model for degradation correction. This combination of both models results in a precise probabilistic prediction of the cell voltage over time. Furthermore, we present a web-based framework for automated fuel cell monitoring in real time. This framework allows training a digital twin on existing data and subsequently applying the twin to automatically check new data for anomalies. 2024-11-13T08:36:45.425136 2024-11-13T10:16:23.671100 2024-11-13T10:13:37.213268 2024-09-28T22:00:00 https://doi.org/10.1149/11405.0645ecst ecsarxiv 0 withdrawn 1 1 https://doi.org/10.1149/osf.io/5qrn3 CC-By Attribution-NonCommercial-NoDerivatives 4.0 International Anomaly Detection; Digital Twin; Fuel Cell; Machine Learning; Monitoring; PEMFC ["Anomaly Detection", "Digital Twin", "Fuel Cell", "Machine Learning", "Monitoring", "PEMFC"] Lukas Klass; Laurin Holz; Lukas König; Alexander Kabza; Frank Sehnke; Katharina Strecker; Markus Hölzle [{"id": "f5sru", "name": "Lukas Klass", "index": 0, "orcid": "0000-0002-1379-3607", "bibliographic": true}, {"id": "xrm83", "name": "Laurin Holz", "index": 1, "orcid": null, "bibliographic": true}, {"id": "h3ap6", "name": "Lukas K\u00f6nig", "index": 2, "orcid": null, "bibliographic": true}, {"id": "b5xru", "name": "Alexander Kabza", "index": 3, "orcid": null, "bibliographic": true}, {"id": "sghwf", "name": "Frank Sehnke", "index": 4, "orcid": null, "bibliographic": true}, {"id": "c7ek2", "name": "Katharina Strecker", "index": 5, "orcid": null, "bibliographic": true}, {"id": "t6cga", "name": "Markus H\u00f6lzle", "index": 6, "orcid": null, "bibliographic": true}] Lukas Klass Engineering [{"id": "5ae728ad4667e6000f98dd92", "text": "Engineering"}]   0   not_applicable not_applicable []   2025-04-09T21:06:12.552729
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