Digital Twin Enabled Asset Management of Machine Tools

B Sicard, Y Wu, SA Gadsden - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Machine tools (MT) are essential equipment in modern manufacturing. They are a large
investment which yields great returns to productivity and profitability. MTs enable the high …

[BOOK][B] Barriers to Adoption of Artificial Intelligence in Metal Additive Manufacturing

WE King - 2025 - books.google.com
Artificial intelligence (AI) is poised to significantly impact metal additive manufacturing (AM).
Understanding how one might use AI in AM is challenging because AM experts are not AI …

Data Scarcity in Fault Detection for Solar Tracking Systems: the Power of Physics-Informed Artificial Intelligence

MF Lüscher, J Zgraggen, Y Guo… - PHM Society …, 2024 - papers.phmsociety.org
Data Scarcity in Fault Detection for Solar Tracking Systems: the Power of Physics-Informed
Artificial Intelligence | PHM Society European Conference PHMSociety.org Conferences …

Physics-informed neural networks for modeling hysteretic behavior in magnetorheological dampers

Y Wu, B Sicard, P Kosierb, R Appuhamy… - … Learning for Multi …, 2024 - spiedigitallibrary.org
In this article, the power of physics-informed neural networks is employed to address the
issue of model identification for complex physical systems, focusing on the application of a …

Aerospace digital twins: examining applications of digital twin technology to unmanned aerial vehicles and satellites

B Sicard, A McCafferty-Leroux… - … , and Security for …, 2024 - spiedigitallibrary.org
Unmanned aerial vehicles (UAV) and satellites are becoming increasingly popular in
business, government, and military applications. Both have unique use cases and value, but …

Generating synthetic data for data-driven solutions via a digital twin for condition monitoring in machine tools

B Sicard, Q Butler, Y Wu, S Abdolahi… - Synthetic Data for …, 2024 - spiedigitallibrary.org
Machine tools (MT) are critical to modern manufacturing. They allow precision
manufacturing of complex components at high volumes. MTs are large capital investments …

PHYSICS-INFORMED MACHINE LEARNING FOR MODELING AND ANALYSIS OF MECHANICAL SYSTEMS

Y Wu - 2024 - macsphere.mcmaster.ca
Physics-informed neural networks (PINNs) provide an alternative to traditional solvers for
differential equations, specifically in tasks such as system identification and inverse …