A Comparative Study of RQA-Guided Attention Mechanisms with LSTM Autoencoder for Bearing Anomaly Detection

Ayşenur Hatipoğlu, Ersen Yılmaz

Open source

DOI
10.3390/s26031015
Published
2026-02-04
Container
Sensors
Publisher
MDPI AG
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3390/s26031015,
  title = {A Comparative Study of RQA-Guided Attention Mechanisms with LSTM Autoencoder for Bearing Anomaly Detection},
  author = {Ayşenur Hatipoğlu and Ersen Yılmaz},
  year = {2026},
  journal = {Sensors},
  doi = {10.3390/s26031015},
  url = {https://doi.org/10.3390/s26031015}
}

RIS

TY  - JOUR
TI  - A Comparative Study of RQA-Guided Attention Mechanisms with LSTM Autoencoder for Bearing Anomaly Detection
AU  - Ayşenur Hatipoğlu
AU  - Ersen Yılmaz
PY  - 2026
JO  - Sensors
DO  - 10.3390/s26031015
UR  - https://doi.org/10.3390/s26031015
ER  - 

APA

Hatipoğlu, A., & Yılmaz, E. (2026). A Comparative Study of RQA-Guided Attention Mechanisms with LSTM Autoencoder for Bearing Anomaly Detection. Sensors. https://doi.org/10.3390/s26031015

Source records