Verfügbarkeit: Using Machine Learning Methods for Predicting Cage Performance Criteria in an Angular Contact Ball Bearing

Using Machine Learning Methods for Predicting Cage Performance Criteria in an Angular Contact Ball Bearing:

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Bibliographische Detailangaben
Beteiligte Personen:	Schwarz, Sebastian (VerfasserIn), Grillenberger, Hannes (VerfasserIn), Graf-Goller, Oliver (VerfasserIn), Bartz, Marcel (VerfasserIn), Tremmel, Stephan (VerfasserIn), Wartzack, Sandro 1966- (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Erlangen ; Nürnberg Friedrich-Alexander-Universität Erlangen-Nürnberg 2022
Schlagwörter:	rolling bearing dynamics cage instability regression machine learning neural networks random forest gradient boosting evolutionary algorithms
Links:	https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-188586 https://d-nb.info/1255459646/34 https://open.fau.de/handle/openfau/18858
Umfang:	1 Online-Ressource

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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_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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