The rise of digital twins in the manufacturing industry is accompanied by new possibilities, like process automation and condition monitoring, real time simulations and quality and maintenance prediction are just a few advantages which can be realized. This paper takes a novel approach by extracting the fundamental knowledge of a data set from a production process and mapping it to an expert fuzzy rule set. Afterwards, new fundamental augmented data is generated by exploring the feature space of the previously generated fuzzy rule set. At the same time, a high number of artificial neural network (ANN)models with different hyperparameter configurations are created. The best models are chosen, in line with the idea of survival of the fittest...
Intelligence is strongly connected with learning adapting abilities, therefore such capabilities are...
Digital Twins (DTs) are real-time digital models that allow for self-diagnosis, self-optimization an...
summary:The extraction of logical rules from data has been, for nearly fifteen years, a key applicat...
The latest developments in industry involved the deployment of digital twins for both long and short...
International audienceThe latest developments in industry involved the deployment of digital twins f...
Digital twin (DT) and artificial intelligence (AI) technologies are powerful enablers for Industry 4...
It is assumed that by 2021, about half of the companies will use digital counterparts of different l...
Smart manufacturing or Industry 4.0, a trend initiated a decade ago, aims to revolutionize tradition...
Artificial neural networks (ANN) have the ability to model input-output relationships from processin...
Manufacturing companies are under pressure to build faster and more efficient decision-making capabi...
The megatrend of the digitization of the industry is picking up speed. Today, the digital twin is an...
This research considers the problem of digital twin engineering in organizational and technical syst...
A digital twin is a virtual representation of a physical object that is designed to exactly reflect ...
The Digital Twin (DT) concept in the manufacturing industry has received considerable attention from...
A digital twin of a manufacturing system is a digital copy of the physical manufacturing system that...
Intelligence is strongly connected with learning adapting abilities, therefore such capabilities are...
Digital Twins (DTs) are real-time digital models that allow for self-diagnosis, self-optimization an...
summary:The extraction of logical rules from data has been, for nearly fifteen years, a key applicat...
The latest developments in industry involved the deployment of digital twins for both long and short...
International audienceThe latest developments in industry involved the deployment of digital twins f...
Digital twin (DT) and artificial intelligence (AI) technologies are powerful enablers for Industry 4...
It is assumed that by 2021, about half of the companies will use digital counterparts of different l...
Smart manufacturing or Industry 4.0, a trend initiated a decade ago, aims to revolutionize tradition...
Artificial neural networks (ANN) have the ability to model input-output relationships from processin...
Manufacturing companies are under pressure to build faster and more efficient decision-making capabi...
The megatrend of the digitization of the industry is picking up speed. Today, the digital twin is an...
This research considers the problem of digital twin engineering in organizational and technical syst...
A digital twin is a virtual representation of a physical object that is designed to exactly reflect ...
The Digital Twin (DT) concept in the manufacturing industry has received considerable attention from...
A digital twin of a manufacturing system is a digital copy of the physical manufacturing system that...
Intelligence is strongly connected with learning adapting abilities, therefore such capabilities are...
Digital Twins (DTs) are real-time digital models that allow for self-diagnosis, self-optimization an...
summary:The extraction of logical rules from data has been, for nearly fifteen years, a key applicat...