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Peer-reviewedCC BYSensors (Basel, Switzerland)

Multimodal Defect Recognition for Electrical Transformers Based on Improved Dempster–Shafer Evidence Fusion

  1. 1State Grid Henan Electric Power Company Electric Power Research Institute, Zhengzhou 450018, China; (W.Z.); (W.W.); (S.L.)
  2. 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  -