Hybrid Physics-Guided Neural Network for Vibration Sensor Nonlinearity Correction

Alexander P. Lyapin, Faizulddin Ebrahimi, Evgeny D. Agafonov, Viktor S. Ratushnyak, Julia Schnitzer

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DOI: 10.3390/s26196165
Published: 2026-09-29
Container: Sensors
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/s26196165,
  title = {Hybrid Physics-Guided Neural Network for Vibration Sensor Nonlinearity Correction},
  author = {Alexander P. Lyapin and Faizulddin Ebrahimi and Evgeny D. Agafonov and Viktor S. Ratushnyak and Julia Schnitzer},
  year = {2026},
  journal = {Sensors},
  doi = {10.3390/s26196165},
  url = {https://doi.org/10.3390/s26196165}
}

RIS

TY  - JOUR
TI  - Hybrid Physics-Guided Neural Network for Vibration Sensor Nonlinearity Correction
AU  - Alexander P. Lyapin
AU  - Faizulddin Ebrahimi
AU  - Evgeny D. Agafonov
AU  - Viktor S. Ratushnyak
AU  - Julia Schnitzer
PY  - 2026
JO  - Sensors
DO  - 10.3390/s26196165
UR  - https://doi.org/10.3390/s26196165
ER  -

APA

Lyapin, A. P., Ebrahimi, F., Agafonov, E. D., Ratushnyak, V. S., & Schnitzer, J. (2026). Hybrid Physics-Guided Neural Network for Vibration Sensor Nonlinearity Correction. Sensors. https://doi.org/10.3390/s26196165

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crossref · retrieved 2026-11-10T10:53:18.458Z