Causality-Aware Spatiotemporal Adversarial Learning for Knowledge-Data Fault Diagnosis in Large-Scale Industrial Processes.
- DOI
- 10.1109/tnnls.2026.3710177
- Published
- 2026 Jul 23
- Container
- IEEE transactions on neural networks and learning systems
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tnnls.2026.3710177,
title = {Causality-Aware Spatiotemporal Adversarial Learning for Knowledge-Data Fault Diagnosis in Large-Scale Industrial Processes.},
author = {Zhang C and Sun T and Peng K and Simani S and Dong J},
year = {2026},
journal = {IEEE transactions on neural networks and learning systems},
doi = {10.1109/tnnls.2026.3710177},
url = {https://doi.org/10.1109/tnnls.2026.3710177}
}RIS
TY - JOUR TI - Causality-Aware Spatiotemporal Adversarial Learning for Knowledge-Data Fault Diagnosis in Large-Scale Industrial Processes. AU - Zhang C AU - Sun T AU - Peng K AU - Simani S AU - Dong J PY - 2026 JO - IEEE transactions on neural networks and learning systems DO - 10.1109/tnnls.2026.3710177 UR - https://doi.org/10.1109/tnnls.2026.3710177 ER -
APA
C, Z., T, S., K, P., S, S., & J, D. (2026). Causality-Aware Spatiotemporal Adversarial Learning for Knowledge-Data Fault Diagnosis in Large-Scale Industrial Processes.. IEEE transactions on neural networks and learning systems. https://doi.org/10.1109/tnnls.2026.3710177
Source records
- pubmed · retrieved 2026-09-26T08:31:55.354Z