Using Machine Learning Methods for Predicting Cage Performance Criteria in an Angular Contact Ball Bearing:
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| Hauptverfasser: | , , , , , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Erlangen ; Nürnberg
Friedrich-Alexander-Universität Erlangen-Nürnberg
2022
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| Schlagworte: | |
| Online-Zugang: | Volltext Volltext Volltext |
| Beschreibung: | 1 Online-Ressource |
Internformat
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| spelling | Schwarz, Sebastian Verfasser aut Using Machine Learning Methods for Predicting Cage Performance Criteria in an Angular Contact Ball Bearing Sebastian Schwarz, Hannes Grillenberger, Oliver Graf-Goller, Marcel Bartz, Stephan Tremmel, Sandro Wartzack Erlangen ; Nürnberg Friedrich-Alexander-Universität Erlangen-Nürnberg 2022 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Archivierung/Langzeitarchivierung gewährleistet DE-101 pdager rolling bearing dynamics cage instability regression machine learning neural networks random forest gradient boosting evolutionary algorithms Grillenberger, Hannes Verfasser aut Graf-Goller, Oliver Verfasser aut Bartz, Marcel Verfasser aut Tremmel, Stephan Verfasser aut Wartzack, Sandro 1966- Verfasser (DE-588)1079475249 aut Sonderdruck aus Lubricants Vol. 10 (2022) 10.3390/lubricants10020025 https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-188586 Resolving-System kostenfrei Volltext https://d-nb.info/1255459646/34 Langzeitarchivierung Nationalbibliothek kostenfrei Volltext application/pdf https://open.fau.de/handle/openfau/18858 Verlag kostenfrei Volltext 1\p aepkn 0,93777 20220416 DE-101 https://d-nb.info/provenance/plan#aepkn 2\p aepsg 0,92335 20220416 DE-101 https://d-nb.info/provenance/plan#aepsg 3\p npi 20220415 DE-101 https://d-nb.info/provenance/plan#npi |
| spellingShingle | Schwarz, Sebastian Grillenberger, Hannes Graf-Goller, Oliver Bartz, Marcel Tremmel, Stephan Wartzack, Sandro 1966- Using Machine Learning Methods for Predicting Cage Performance Criteria in an Angular Contact Ball Bearing |
| title | Using Machine Learning Methods for Predicting Cage Performance Criteria in an Angular Contact Ball Bearing |
| title_auth | Using Machine Learning Methods for Predicting Cage Performance Criteria in an Angular Contact Ball Bearing |
| title_exact_search | Using Machine Learning Methods for Predicting Cage Performance Criteria in an Angular Contact Ball Bearing |
| title_exact_search_txtP | Using Machine Learning Methods for Predicting Cage Performance Criteria in an Angular Contact Ball Bearing |
| title_full | Using Machine Learning Methods for Predicting Cage Performance Criteria in an Angular Contact Ball Bearing Sebastian Schwarz, Hannes Grillenberger, Oliver Graf-Goller, Marcel Bartz, Stephan Tremmel, Sandro Wartzack |
| title_fullStr | Using Machine Learning Methods for Predicting Cage Performance Criteria in an Angular Contact Ball Bearing Sebastian Schwarz, Hannes Grillenberger, Oliver Graf-Goller, Marcel Bartz, Stephan Tremmel, Sandro Wartzack |
| title_full_unstemmed | Using Machine Learning Methods for Predicting Cage Performance Criteria in an Angular Contact Ball Bearing Sebastian Schwarz, Hannes Grillenberger, Oliver Graf-Goller, Marcel Bartz, Stephan Tremmel, Sandro Wartzack |
| title_short | Using Machine Learning Methods for Predicting Cage Performance Criteria in an Angular Contact Ball Bearing |
| title_sort | using machine learning methods for predicting cage performance criteria in an angular contact ball bearing |
| url | https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-188586 https://d-nb.info/1255459646/34 https://open.fau.de/handle/openfau/18858 |
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