[HTML][HTML] Quo vadis artificial intelligence?

Y Jiang, X Li, H Luo, S Yin, O Kaynak - Discover Artificial Intelligence, 2022 - Springer
The study of artificial intelligence (AI) has been a continuous endeavor of scientists and
engineers for over 65 years. The simple contention is that human-created machines can do …

[HTML][HTML] Overview of predictive maintenance based on digital twin technology

D Zhong, Z Xia, Y Zhu, J Duan - Heliyon, 2023 - cell.com
The upgrade and development of manufacturing industry makes predictive maintenance
more and more important, but the traditional predictive maintenance can not meet the …

[HTML][HTML] Fault diagnosis in industrial rotating equipment based on permutation entropy, signal processing and multi-output neuro-fuzzy classifier

S Rajabi, MS Azari, S Santini, F Flammini - Expert systems with …, 2022 - Elsevier
Rotating equipment is considered as a key component in several industrial sectors. In fact,
the continuous operation of many industrial machines such as sub-sea pumps and gas …

[HTML][HTML] Requirements and design patterns for adaptive, autonomous, and context-aware digital twins in industry 4.0 digital factories

P Bellavista, N Bicocchi, M Fogli, C Giannelli… - Computers in …, 2023 - Elsevier
Digital factories are poised to achieve unseen levels of resiliency and flexibility, facing
increasingly demanding requirements by customers and market conditions. Digital twins are …

A systematic literature review on transfer learning for predictive maintenance in industry 4.0

MS Azari, F Flammini, S Santini, M Caporuscio - IEEE access, 2023 - ieeexplore.ieee.org
The advent of Industry 4.0 has resulted in the widespread usage of novel paradigms and
digital technologies within industrial production and manufacturing systems. The objective of …

Digital twins for anomaly detection in the industrial internet of things: Conceptual architecture and proof-of-concept

A De Benedictis, F Flammini… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Modern cyber-physical systems based on the industrial Internet of Things (IIoT) can be
highly distributed and heterogeneous, and that increases the risk of failures due to …

[HTML][HTML] Old wine in new bottles? Understanding infrastructure resilience: Foundations, assessment, and limitations

W Bi, K MacAskill, J Schooling - Transportation Research Part D: Transport …, 2023 - Elsevier
While the trend towards building resilience in infrastructure systems for disaster risk
reduction is accelerating, the application of infrastructure resilience is largely conceptual or …

Towards trustworthy autonomous systems: Taxonomies and future perspectives

F Flammini, C Alcaraz, E Bellini… - … on Emerging Topics …, 2022 - ieeexplore.ieee.org
The class of Trustworthy Autonomous Systems (TAS) includes cyber-physical systems
leveraging on self-x technologies that make them capable to learn, adapt to changes, and …

A vision of intelligent train control

F Flammini, L De Donato, A Fantechi… - … Conference on Reliability …, 2022 - Springer
The progressive adoption of artificial intelligence and advanced communication
technologies within railway control and automation has brought up a huge potential in terms …

[HTML][HTML] Towards AI-assisted digital twins for smart railways: preliminary guideline and reference architecture

L De Donato, R Dirnfeld, A Somma… - Journal of Reliable …, 2023 - Springer
In the last years, there has been a growing interest in the emerging concept of digital twins
(DTs) among software engineers and researchers. DTs not only represent a promising …