Condition monitoring with very early gear damage detection enables remaining useful life prediction and health management of drive units. For a reliable detection of tooth flank damage during operation, a holistic approach combines experimental investigations, physical and AI-based data evaluation and is supplemented by FE and multi-body simulation.
%0 Conference Paper
%1 merkle2024holistic
%A Merkle, Lukas
%A Binanzer, Lisa
%A Dazer, Martin
%B 65. Tribologie-Fachtagung
%C 23.-25.09.2024, Göttingen
%D 2024
%K L_Binanzer L_Merkle M_Dazer antriebstechnik gruebchen
%T Holistic Approach on Gear Damage Detection
%X Condition monitoring with very early gear damage detection enables remaining useful life prediction and health management of drive units. For a reliable detection of tooth flank damage during operation, a holistic approach combines experimental investigations, physical and AI-based data evaluation and is supplemented by FE and multi-body simulation.
@inproceedings{merkle2024holistic,
abstract = {Condition monitoring with very early gear damage detection enables remaining useful life prediction and health management of drive units. For a reliable detection of tooth flank damage during operation, a holistic approach combines experimental investigations, physical and AI-based data evaluation and is supplemented by FE and multi-body simulation.},
added-at = {2024-11-05T16:30:12.000+0100},
address = {23.-25.09.2024, Göttingen},
author = {Merkle, Lukas and Binanzer, Lisa and Dazer, Martin},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/257fe6e0d2742ac4efc0f81c5ef2c13f6/ima-publ},
booktitle = {65. Tribologie-Fachtagung},
eventdate = {25.09.2024},
interhash = {592b369cdc0b403ffbbb7b218f4dccc8},
intrahash = {57fe6e0d2742ac4efc0f81c5ef2c13f6},
keywords = {L_Binanzer L_Merkle M_Dazer antriebstechnik gruebchen},
month = {09},
timestamp = {2024-11-06T08:59:41.000+0100},
title = {Holistic Approach on Gear Damage Detection},
year = 2024
}
