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Module-Level Modelling Approach for a Cloudbased Digital Twin Platform for Li-Ion Batteries
(IEEE, 2022)
The pursue of the new increasingly intelligent, and heavier state estimation algorithms requires a significant amount of data and computing power, which may challenge their deployment in current BMS solutions. To address ...
A digital twin framework for the simulation and optimization of production systems
(Elsevier B.V., 2021)
Industry 4.0 has raised the expectations on productivity, automation, and resource efficiency of manufacturing systems. This paper proposes a digital twin framework for the simulation and optimization of production lines ...
ADAPT: an Automatic Diagnosis of Activity and Processes in auTomation environments
(IEEE, 2020)
In an automated industrial environment, a large volume of data and signals is available, both from sensors and actuators in machinery and from the interaction with operators and users. Operation diagnosis can have multiple ...
Petri net implementation in programmable logic controllers: methodology for development and validation
(IEEE, 2021)
Lead times are key to good market positioning of providers of automated solutions based on a programmable logic controller (PLC). Testing control software against a digital twin (DT) of the process, any programming errors ...
Virtual commissioning of a robotic cell: an educational case study
(IEEE, 2019)
The emergence of software tools for testing control programs and virtual commissioning (VC) in industrial automation projects makes it possible to shorten lead times and improve product quality, but it also brings to light ...
Implementation of Digital Twin-based Virtual Commissioning in Machine Tool Manufacturing
(Elsevier B.V., 2022)
Virtual commissioning is not a new concept; However, it is all the rage with the introduction of Industry 4.0, in the field of product lifecycle management, computer-aided design (CAD), computer-aided manufacturing (CAM), ...