A machine-learning architecture for sensor fault detection, isolation, and accommodation in digital twins
Sensor technologies empower Industry 4.0 by enabling integration of in-field and real-time
raw data into digital twins (DTs). However, sensors might be unreliable due to inherent …
raw data into digital twins (DTs). However, sensors might be unreliable due to inherent …
Sensor-fault detection, isolation and accommodation for digital twins via modular data-driven architecture
H Darvishi, D Ciuonzo, ER Eide… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Sensor technologies empower Industry 4.0 by enabling integration of in-field and real-time
raw data into digital twins. However, sensors might be unreliable due to inherent issues …
raw data into digital twins. However, sensors might be unreliable due to inherent issues …
An anomaly detection framework for digital twin driven cyber-physical systems
In recent years, the digital twin has been one of the active research areas in modern Cyber-
Physical Systems (CPS). Both the digital twin and its physical counterpart, called a plant, are …
Physical Systems (CPS). Both the digital twin and its physical counterpart, called a plant, are …
Digital twins in mechatronics: From model-based control to predictive maintenance
K Classens, WM Heemels… - 2021 IEEE 1st …, 2021 - ieeexplore.ieee.org
Fault diagnosis systems are essential in precision mechatronics to facilitate maintenance
and to minimize downtime. The aim of this paper is to describe the current trend in control for …
and to minimize downtime. The aim of this paper is to describe the current trend in control for …
Deep digital twins for detection, diagnostics and prognostics
A generic framework for prognostics and health monitoring (PHM) which is rapidly
deployable to heterogeneous fleets of assets would allow for the automation of predictive …
deployable to heterogeneous fleets of assets would allow for the automation of predictive …
Digital twins as run-time predictive models for the resilience of cyber-physical systems: a conceptual framework
F Flammini - … Transactions of the Royal Society A, 2021 - royalsocietypublishing.org
Digital twins (DT) are emerging as an extremely promising paradigm for run-time modelling
and performability prediction of cyber-physical systems (CPS) in various domains. Although …
and performability prediction of cyber-physical systems (CPS) in various domains. Although …
Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning
Digital twin (DT) is emerging as a key technology for smart manufacturing. The high fidelity
DT model of the physical assets can produce system performance data that is close to …
DT model of the physical assets can produce system performance data that is close to …
Digital twins collaboration for automatic erratic operational data detection in industry 4.0
Digital twin (DT) plays a pivotal role in the vision of Industry 4.0. The idea is that the real
product and its virtual counterpart are twins that travel a parallel journey from design and …
product and its virtual counterpart are twins that travel a parallel journey from design and …
[HTML][HTML] Updating digital twins: Methodology for data accuracy quality control using machine learning techniques
Abstract The Digital Twin (DT) constitutes an integration between cyber and physical spaces
and has recently become a popular concept in smart manufacturing and Industry 4.0. The …
and has recently become a popular concept in smart manufacturing and Industry 4.0. The …
Digital twin for verification and validation of industrial automation systems–a survey
Digital Twins will change how systems and products are engineered and operated.
Individual virtual representations of assets help to develop, maintain and change single …
Individual virtual representations of assets help to develop, maintain and change single …