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A physics-informed intelligent digital twin using multi-task CNN–LSTM for acoustic emission-based fault prognostics in safety-critical systems

Journal of Intelligent Manufacturing and Special Equipment (2026) 7 (1): 33–58.

https://doi.org/10.1108/JIMSE-10-2025-0023

Published: 15 January 2026

... mapping and residual analysis to provide physical insight into the degradation process. This combination of synthetic data generation, multi-task deep learning, and visual interpretability forms a novel, resource-efficient approach to digital twin development for AI prognostics within the industry 4.0...

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