Page 1 | Search Results | Journal of Intelligent Manufacturing and Special Equipment

1-1 of 1

Sort by

Journal Articles

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

... of building a cost-effective, Python-based digital twin for intelligent monitoring of safety-critical equipment. Novelty and Contribution Unlike conventional digital twins that depend on finite element simulations or costly experimental AE data, this work introduces a purely AI-driven, physics-inspired...

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

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

Update search

NARROW

Format

Journal

Type

Date

Availability

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

Email alerts

Update search

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

Email alerts

Sharing Unavailable