A broad learning model with dual-path feature encoding for robust and expedient incremental fault diagnosis

Shengjie Zhang, Baoyi Xu, Zeyun Yang, Fen Wang, Yuan Liu, Zheng Xiang

Open source

DOI
10.1016/j.neunet.2026.109677
Published
2027-02
Container
Neural Networks
Publisher
Elsevier BV
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.neunet.2026.109677,
  title = {A broad learning model with dual-path feature encoding for robust and expedient incremental fault diagnosis},
  author = {Shengjie Zhang and Baoyi Xu and Zeyun Yang and Fen Wang and Yuan Liu and Zheng Xiang},
  year = {2027},
  journal = {Neural Networks},
  doi = {10.1016/j.neunet.2026.109677},
  url = {https://doi.org/10.1016/j.neunet.2026.109677}
}

RIS

TY  - JOUR
TI  - A broad learning model with dual-path feature encoding for robust and expedient incremental fault diagnosis
AU  - Shengjie Zhang
AU  - Baoyi Xu
AU  - Zeyun Yang
AU  - Fen Wang
AU  - Yuan Liu
AU  - Zheng Xiang
PY  - 2027
JO  - Neural Networks
DO  - 10.1016/j.neunet.2026.109677
UR  - https://doi.org/10.1016/j.neunet.2026.109677
ER  -

APA

Zhang, S., Xu, B., Yang, Z., Wang, F., Liu, Y., & Xiang, Z. (2027). A broad learning model with dual-path feature encoding for robust and expedient incremental fault diagnosis. Neural Networks. https://doi.org/10.1016/j.neunet.2026.109677

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