Simulation-assisted Training of Neural Networks for Condition Monitoring of Electrical Drives: Approach and Proof of Concept

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Original language	English
Title of host publication	IKMT 2022-Innovative small Drives and Micro-Motor Systems; 13. GMM/ETG-Symposium. VDE, 2022
Pages	260-266
Number of pages	7
Publication status	Published - Sept 2022

Fields of science

@inproceedings{12f2b285875c47af96eb56e99ca2851c,

title = "Simulation-assisted Training of Neural Networks for Condition Monitoring of Electrical Drives: Approach and Proof of Concept",

author = "Edmund Marth and Patrick Zorn and Florian Schmid and Shahed Masoudian and Khaled Koutini and Wolfgang Amrhein",

year = "2022",

month = sep,

language = "English",

pages = "260--266",

booktitle = "IKMT 2022-Innovative small Drives and Micro-Motor Systems; 13. GMM/ETG-Symposium. VDE, 2022",

}

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

TY - GEN

T1 - Simulation-assisted Training of Neural Networks for Condition Monitoring of Electrical Drives: Approach and Proof of Concept

AU - Marth, Edmund

AU - Zorn, Patrick

AU - Schmid, Florian

AU - Masoudian, Shahed

AU - Koutini, Khaled

AU - Amrhein, Wolfgang

PY - 2022/9

Y1 - 2022/9

UR - https://www.ikmt-tagung.de/de

M3 - Conference proceedings

SP - 260

EP - 266

BT - IKMT 2022-Innovative small Drives and Micro-Motor Systems; 13. GMM/ETG-Symposium. VDE, 2022

ER -