Multilevel Fault Information Fusion Based on Deep Block-Wise Semi-Nonnegative Matrix Factorization for Industrial Fault Detection and Diagnosis.
- DOI
- 10.1109/tcyb.2026.3732779
- Published
- 2026 Sep 25
- Container
- IEEE transactions on cybernetics
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tcyb.2026.3732779,
title = {Multilevel Fault Information Fusion Based on Deep Block-Wise Semi-Nonnegative Matrix Factorization for Industrial Fault Detection and Diagnosis.},
author = {Kong X and Zhang B and Chai S and Jiang X},
year = {2026},
journal = {IEEE transactions on cybernetics},
doi = {10.1109/tcyb.2026.3732779},
url = {https://doi.org/10.1109/tcyb.2026.3732779}
}RIS
TY - JOUR TI - Multilevel Fault Information Fusion Based on Deep Block-Wise Semi-Nonnegative Matrix Factorization for Industrial Fault Detection and Diagnosis. AU - Kong X AU - Zhang B AU - Chai S AU - Jiang X PY - 2026 JO - IEEE transactions on cybernetics DO - 10.1109/tcyb.2026.3732779 UR - https://doi.org/10.1109/tcyb.2026.3732779 ER -
APA
X, K., B, Z., S, C., & X, J. (2026). Multilevel Fault Information Fusion Based on Deep Block-Wise Semi-Nonnegative Matrix Factorization for Industrial Fault Detection and Diagnosis.. IEEE transactions on cybernetics. https://doi.org/10.1109/tcyb.2026.3732779
Source records
- pubmed · retrieved 2026-09-26T17:58:17.867Z