Vibration-Based Wear Condition Estimation of Journal Bearings Using Convolutional Autoencoders

Cihan Ates, Tobias Höfchen, Mario Witt, Rainer Koch, Hans-Jörg Bauer

Open source

DOI: 10.3390/s23229212
Published: 2023-11-16
Container: Sensors
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/s23229212,
  title = {Vibration-Based Wear Condition Estimation of Journal Bearings Using Convolutional Autoencoders},
  author = {Cihan Ates and Tobias Höfchen and Mario Witt and Rainer Koch and Hans-Jörg Bauer},
  year = {2023},
  journal = {Sensors},
  doi = {10.3390/s23229212},
  url = {https://doi.org/10.3390/s23229212}
}

RIS

TY  - JOUR
TI  - Vibration-Based Wear Condition Estimation of Journal Bearings Using Convolutional Autoencoders
AU  - Cihan Ates
AU  - Tobias Höfchen
AU  - Mario Witt
AU  - Rainer Koch
AU  - Hans-Jörg Bauer
PY  - 2023
JO  - Sensors
DO  - 10.3390/s23229212
UR  - https://doi.org/10.3390/s23229212
ER  -

APA

Ates, C., Höfchen, T., Witt, M., Koch, R., & Bauer, H. (2023). Vibration-Based Wear Condition Estimation of Journal Bearings Using Convolutional Autoencoders. Sensors. https://doi.org/10.3390/s23229212

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crossref · retrieved 2026-09-26T12:49:31.409Z