Computation-Efficient Fault Detection Framework for Partially Known Nonlinear Distributed Parameter Systems

Yun Feng, Yaonan Wang, Yang Mo, Yiming Jiang, Zhijie Liu, Wei He, Han-Xiong Li

Open source

DOI
10.1109/tnnls.2023.3263840
Published
2024-09
Container
IEEE Transactions on Neural Networks and Learning Systems
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1109/tnnls.2023.3263840,
  title = {Computation-Efficient Fault Detection Framework for Partially Known Nonlinear Distributed Parameter Systems},
  author = {Yun Feng and Yaonan Wang and Yang Mo and Yiming Jiang and Zhijie Liu and Wei He and Han-Xiong Li},
  year = {2024},
  journal = {IEEE Transactions on Neural Networks and Learning Systems},
  doi = {10.1109/tnnls.2023.3263840},
  url = {https://doi.org/10.1109/tnnls.2023.3263840}
}

RIS

TY  - JOUR
TI  - Computation-Efficient Fault Detection Framework for Partially Known Nonlinear Distributed Parameter Systems
AU  - Yun Feng
AU  - Yaonan Wang
AU  - Yang Mo
AU  - Yiming Jiang
AU  - Zhijie Liu
AU  - Wei He
AU  - Han-Xiong Li
PY  - 2024
JO  - IEEE Transactions on Neural Networks and Learning Systems
DO  - 10.1109/tnnls.2023.3263840
UR  - https://doi.org/10.1109/tnnls.2023.3263840
ER  - 

APA

Feng, Y., Wang, Y., Mo, Y., Jiang, Y., Liu, Z., He, W., & Li, H. (2024). Computation-Efficient Fault Detection Framework for Partially Known Nonlinear Distributed Parameter Systems. IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/tnnls.2023.3263840

Source records