Unsupervised Acoustic Anomaly Detection for Rotating Machinery Under Submarine-like Environments: Considering Data Scarcity and Background Noise via Proxy Data Generation.
- DOI
- 10.3390/s26092659
- Published
- 2026 Apr 24
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s26092659,
title = {Unsupervised Acoustic Anomaly Detection for Rotating Machinery Under Submarine-like Environments: Considering Data Scarcity and Background Noise via Proxy Data Generation.},
author = {Kim KS and Lee JH},
year = {2026},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s26092659},
url = {https://doi.org/10.3390/s26092659}
}RIS
TY - JOUR TI - Unsupervised Acoustic Anomaly Detection for Rotating Machinery Under Submarine-like Environments: Considering Data Scarcity and Background Noise via Proxy Data Generation. AU - Kim KS AU - Lee JH PY - 2026 JO - Sensors (Basel, Switzerland) DO - 10.3390/s26092659 UR - https://doi.org/10.3390/s26092659 ER -
APA
KS, K., & JH, L. (2026). Unsupervised Acoustic Anomaly Detection for Rotating Machinery Under Submarine-like Environments: Considering Data Scarcity and Background Noise via Proxy Data Generation.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26092659
Source records
- pubmed · retrieved 2026-09-25T08:28:00.791Z