Peer-reviewedCC BYSensors (Basel, Switzerland)
Multimodal Defect Recognition for Electrical Transformers Based on Improved Dempster–Shafer Evidence Fusion
- 1State Grid Henan Electric Power Company Electric Power Research Institute, Zhengzhou 450018, China; (W.Z.); (W.W.); (S.L.)
- 2State Key Laboratory of Complex & Critical Software Environment, School of Computer Science and Engineering, , Beijing 100191, China; (J.L.); (A.U.); (G.Q.); (L.X.)
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BibTeX
@article{zhang2026multimodal,
title = {{Multimodal Defect Recognition for Electrical Transformers Based on Improved Dempster–Shafer Evidence Fusion}},
author = {Weijian Zhang and Wanxin Wang and Joshua Luhwago and Asad Ullah and Guojing Qian and Shanfeng Liu and Li Ruan and Limin Xiao},
journal = {Sensors (Basel, Switzerland)},
year = {2026},
month = sep,
url = {https://europepmc.org/article/PMC/PMC13667487},
note = {CC BY},
}
RIS
TY - JOUR
TI - Multimodal Defect Recognition for Electrical Transformers Based on Improved Dempster–Shafer Evidence Fusion
AU - Weijian Zhang
AU - Wanxin Wang
AU - Joshua Luhwago
AU - Asad Ullah
AU - Guojing Qian
AU - Shanfeng Liu
AU - Li Ruan
AU - Limin Xiao
PY - 2026
DA - 2026/09/30
JO - Sensors (Basel, Switzerland)
UR - https://europepmc.org/article/PMC/PMC13667487
SN - 1424-8220
ER -