Machine Learned Dynamics – Berücksichtigung des dynamischen Verhaltens von Käfigen mittels maschinellen Lernens im Auslegungsprozess von Wälzlagerungen (MeLD – Machine Learned Dynamics)

Third party funded individual grant


Acronym: MeLD – Machine Learned Dynamics

Start date : 01.03.2020

End date : 31.10.2022

Website: https://forschungsstiftung.de/Projekte/Details/MeLD-Machine-Learned-Dynamics-Beruecksichtigung-des-dynamischen-Verhaltens-von-Ka

close-button

Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

From
To

Abstract

Journal

Using Machine Learning Methods for Predicting Cage Performance Criteria in an Angular Contact Ball Bearing (2022) Schwarz S, Grillenberger H, Graf-Goller O, Bartz M, Tremmel S, Wartzack S Journal article, Original article Prediction of Rolling Bearing Cage Dynamics Using Dynamics Simulations and Machine Learning Algorithms (2021) Schwarz S, Grillenberger H, Tremmel S, Wartzack S Journal article, Original article Investigations on the rolling bearing cage dynamics with regard to different operating conditions and cage properties (2021) Schwarz S, Grillenberger H, Tremmel S, Wartzack S Conference contribution, Conference Contribution