Explainable Artificial Intelligence for Thermal Condition Assessment of High-Voltage Power Equipment Using Infrared Imaging.
- DOI
- 10.3791/71527
- Published
- 2026 Jul 21
- Container
- Journal of visualized experiments : JoVE
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3791/71527,
title = {Explainable Artificial Intelligence for Thermal Condition Assessment of High-Voltage Power Equipment Using Infrared Imaging.},
author = {Kalla KR and Swetha RR and K M and Ramesh I and Ramana CVV and Ghorashi SA and Karim FK and Mostafa SM},
year = {2026},
journal = {Journal of visualized experiments : JoVE},
doi = {10.3791/71527},
url = {https://doi.org/10.3791/71527}
}RIS
TY - JOUR TI - Explainable Artificial Intelligence for Thermal Condition Assessment of High-Voltage Power Equipment Using Infrared Imaging. AU - Kalla KR AU - Swetha RR AU - K M AU - Ramesh I AU - Ramana CVV AU - Ghorashi SA AU - Karim FK AU - Mostafa SM PY - 2026 JO - Journal of visualized experiments : JoVE DO - 10.3791/71527 UR - https://doi.org/10.3791/71527 ER -
APA
KR, K., RR, S., M, K., I, R., CVV, R., SA, G., FK, K., & SM, M. (2026). Explainable Artificial Intelligence for Thermal Condition Assessment of High-Voltage Power Equipment Using Infrared Imaging.. Journal of visualized experiments : JoVE. https://doi.org/10.3791/71527
Source records
- pubmed · retrieved 2026-09-25T21:10:46.754Z