Explainable machine learning for incipient anomaly detection in compact molten salt heat exchanger with overlapping feature distributions.
- DOI
- 10.1038/s41598-025-27112-8
- Published
- 2026 Mar 6
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-27112-8,
title = {Explainable machine learning for incipient anomaly detection in compact molten salt heat exchanger with overlapping feature distributions.},
author = {Prantikos K and Lee T and Hua TQ and Tsoukalas LH and Heifetz A},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-025-27112-8},
url = {https://doi.org/10.1038/s41598-025-27112-8}
}RIS
TY - JOUR TI - Explainable machine learning for incipient anomaly detection in compact molten salt heat exchanger with overlapping feature distributions. AU - Prantikos K AU - Lee T AU - Hua TQ AU - Tsoukalas LH AU - Heifetz A PY - 2026 JO - Scientific reports DO - 10.1038/s41598-025-27112-8 UR - https://doi.org/10.1038/s41598-025-27112-8 ER -
APA
K, P., T, L., TQ, H., LH, T., & A, H. (2026). Explainable machine learning for incipient anomaly detection in compact molten salt heat exchanger with overlapping feature distributions.. Scientific reports. https://doi.org/10.1038/s41598-025-27112-8
Source records
- pubmed · retrieved 2026-09-25T18:38:24.040Z