Lightweight Machine Learning Framework for Cavitation Detection in Submersible Pumps Using Experimental Multi-Sensor Data
- DOI
- 10.3390/s26175596
- Published
- 2026-09-03
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26175596,
title = {Lightweight Machine Learning Framework for Cavitation Detection in Submersible Pumps Using Experimental Multi-Sensor Data},
author = {Seyit Alperen Celtek and Seyma Sattuf and Farhad Shahnia and Nuri Orhan},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26175596},
url = {https://doi.org/10.3390/s26175596}
}RIS
TY - JOUR TI - Lightweight Machine Learning Framework for Cavitation Detection in Submersible Pumps Using Experimental Multi-Sensor Data AU - Seyit Alperen Celtek AU - Seyma Sattuf AU - Farhad Shahnia AU - Nuri Orhan PY - 2026 JO - Sensors DO - 10.3390/s26175596 UR - https://doi.org/10.3390/s26175596 ER -
APA
Celtek, S. A., Sattuf, S., Shahnia, F., & Orhan, N. (2026). Lightweight Machine Learning Framework for Cavitation Detection in Submersible Pumps Using Experimental Multi-Sensor Data. Sensors. https://doi.org/10.3390/s26175596
Source records
- crossref · retrieved 2026-11-10T08:34:29.033Z