Industry 5.0 and its technologies: A systematic literature review upon the human place into IoT-and CPS-based industrial systems
Industry 4.0 has fueled research for almost a decade now. Beyond production efficiency, it
has raised sustainability issues and societal challenges. However, these have mainly been …
has raised sustainability issues and societal challenges. However, these have mainly been …
Multi-agent systems and complex networks: Review and applications in systems engineering
Systems engineering is an ubiquitous discipline of Engineering overlap** industrial,
chemical, mechanical, manufacturing, control, software, electrical, and civil engineering. It …
chemical, mechanical, manufacturing, control, software, electrical, and civil engineering. It …
Weibull recurrent neural networks for failure prognosis using histogram data
Weibull time-to-event recurrent neural networks (WTTE-RNN) is a simple and versatile
prognosis algorithm that works by optimising a Weibull survival function using a recurrent …
prognosis algorithm that works by optimising a Weibull survival function using a recurrent …
Application of industrial internet for equipment asset management in social digitalization platform based on system engineering using fuzzy DEMATEL-TOPSIS
In any industry, Equipment Asset Management (EAM) is at the core of the production
activities. With the rapid development of Industrial Internet technologies and platforms, the …
activities. With the rapid development of Industrial Internet technologies and platforms, the …
An Industrial Multi Agent System for real-time distributed collaborative prognostics
Despite increasing interest, real-time prognostics (failure prediction) is still not widespread in
industry due to the difficulties of existing systems to adapt to the dynamic and …
industry due to the difficulties of existing systems to adapt to the dynamic and …
Multi-agent system architectures for collaborative prognostics
This paper provides a methodology to assess the optimal multi-agent architecture for
collaborative prognostics in modern fleets of assets. The use of multi-agent systems has …
collaborative prognostics in modern fleets of assets. The use of multi-agent systems has …
[HTML][HTML] Label synchronization strategies for hybrid federated learning
Advances in artificial intelligence and sensing technologies are becoming instrumental in
the adoption of condition-based and predictive maintenance strategies across various …
the adoption of condition-based and predictive maintenance strategies across various …
Recurrent neural networks for real-time distributed collaborative prognostics
We present the first steps towards real-time distributed collaborative prognostics enabled by
an implementation of the Weibull Time To Event-Recurrent Neural Network (WTTE-RNN) …
an implementation of the Weibull Time To Event-Recurrent Neural Network (WTTE-RNN) …
A social network of collaborating industrial assets
The IoT (Internet of Things) concept is being widely regarded as the fundamental tool of the
next industrial revolution–Industry 4.0. As the value of data generated in social networks has …
next industrial revolution–Industry 4.0. As the value of data generated in social networks has …
Federated learning for collaborative prognosis
Modern industrial assets generate prodigious condition monitoring data. Various prognosis
techniques can use this data to predict the asset's remaining useful life. But the data in most …
techniques can use this data to predict the asset's remaining useful life. But the data in most …