Accurate Classification of Minor Leaks in Primary Loop Systems Using a Multi-Scale Attention Temporal Convolutional Autoencoder

Jinghua Yang, Xiaohua Yang, Jie Liu, Zhuoran Xu, Guorui Huang

Open source

DOI
10.3390/s26165289
Published
2026-08-20
Container
Sensors
Publisher
MDPI AG
Open access
unknown

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BibTeX

@article{allodium:10.3390/s26165289,
  title = {Accurate Classification of Minor Leaks in Primary Loop Systems Using a Multi-Scale Attention Temporal Convolutional Autoencoder},
  author = {Jinghua Yang and Xiaohua Yang and Jie Liu and Zhuoran Xu and Guorui Huang},
  year = {2026},
  journal = {Sensors},
  doi = {10.3390/s26165289},
  url = {https://doi.org/10.3390/s26165289}
}

RIS

TY  - JOUR
TI  - Accurate Classification of Minor Leaks in Primary Loop Systems Using a Multi-Scale Attention Temporal Convolutional Autoencoder
AU  - Jinghua Yang
AU  - Xiaohua Yang
AU  - Jie Liu
AU  - Zhuoran Xu
AU  - Guorui Huang
PY  - 2026
JO  - Sensors
DO  - 10.3390/s26165289
UR  - https://doi.org/10.3390/s26165289
ER  -

APA

Yang, J., Yang, X., Liu, J., Xu, Z., & Huang, G. (2026). Accurate Classification of Minor Leaks in Primary Loop Systems Using a Multi-Scale Attention Temporal Convolutional Autoencoder. Sensors. https://doi.org/10.3390/s26165289

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