Multi-resolution perceiver-based residual attention for explainable fault diagnosis in power transmission systems

Shantanu Dinesh Wani, S. Abinaya, S. Abirami, R. Priyadarshini

Open source

DOI: 10.3389/frai.2026.1903342
Published: 2026-09-03
Container: Frontiers in Artificial Intelligence
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1903342,
  title = {Multi-resolution perceiver-based residual attention for explainable fault diagnosis in power transmission systems},
  author = {Shantanu Dinesh Wani and S. Abinaya and S. Abirami and R. Priyadarshini},
  year = {2026},
  journal = {Frontiers in Artificial Intelligence},
  doi = {10.3389/frai.2026.1903342},
  url = {https://doi.org/10.3389/frai.2026.1903342}
}

RIS

TY  - JOUR
TI  - Multi-resolution perceiver-based residual attention for explainable fault diagnosis in power transmission systems
AU  - Shantanu Dinesh Wani
AU  - S. Abinaya
AU  - S. Abirami
AU  - R. Priyadarshini
PY  - 2026
JO  - Frontiers in Artificial Intelligence
DO  - 10.3389/frai.2026.1903342
UR  - https://doi.org/10.3389/frai.2026.1903342
ER  -

APA

Wani, S. D., Abinaya, S., Abirami, S., & Priyadarshini, R. (2026). Multi-resolution perceiver-based residual attention for explainable fault diagnosis in power transmission systems. Frontiers in Artificial Intelligence. https://doi.org/10.3389/frai.2026.1903342

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crossref · retrieved 2026-11-10T12:27:04.547Z