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https://doi.org/https://doi.org/10.1016/j.compind.2026.104459
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@article{le2026,
title = {{VAVFormer: A general interpretable fault diagnosis framework based on variational fusion and adaptive volatility attention}},
author = {Le Liu et al.},
journal = {Computers in Industry},
year = {2026},
doi = {https://doi.org/https://doi.org/10.1016/j.compind.2026.104459},
}TY - JOUR
TI - VAVFormer: A general interpretable fault diagnosis framework based on variational fusion and adaptive volatility attention
AU - al., Le Liu et
JO - Computers in Industry
PY - 2026
ER -
Le Liu et al. (2026). VAVFormer: A general interpretable fault diagnosis framework based on variational fusion and adaptive volatility attention. *Computers in Industry*. https://doi.org/https://doi.org/10.1016/j.compind.2026.104459
Le Liu et al.. "VAVFormer: A general interpretable fault diagnosis framework based on variational fusion and adaptive volatility attention." *Computers in Industry* (2026). https://doi.org/https://doi.org/10.1016/j.compind.2026.104459.
VAVFormer: A general interpretable fault diagnosis framework based on variational fusion and adaptive volatility attention
Le Liu et al. · Computers in Industry · 2026
https://doi.org/https://doi.org/10.1016/j.compind.2026.104459
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