Digital twin—Cyber replica of physical things: Architecture, applications and future research directions
The Internet of Things (IoT) connects massive smart devices to collect big data and carry out
the monitoring and control of numerous things in cyber-physical systems (CPS). By …
the monitoring and control of numerous things in cyber-physical systems (CPS). By …
A survey on industrial information integration 2016–2019
Y Chen - Journal of Industrial Integration and Management, 2020 - World Scientific
Industrial information integration engineering (IIIE) is a set of foundational concepts and
techniques that facilitate the industrial information integration process. In recent years, many …
techniques that facilitate the industrial information integration process. In recent years, many …
Digital twin and big data towards smart manufacturing and industry 4.0: 360 degree comparison
With the advances in new-generation information technologies, especially big data and
digital twin, smart manufacturing is becoming the focus of global manufacturing …
digital twin, smart manufacturing is becoming the focus of global manufacturing …
Industrial big data for fault diagnosis: Taxonomy, review, and applications
Y Xu, Y Sun, J Wan, X Liu, Z Song - IEEE Access, 2017 - ieeexplore.ieee.org
Fault diagnosis is an important topic both in practice and research. There is intense pressure
on industrial systems to continue reducing unscheduled downtime, performance …
on industrial systems to continue reducing unscheduled downtime, performance …
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 …
Interpreting learning models in manufacturing processes: towards explainable AI methods to improve trust in classifier predictions
Smart manufacturing processes, building upon machine learning (ML) models could
potentially reduce the pre-production testing and validation time for new processes. Beyond …
potentially reduce the pre-production testing and validation time for new processes. Beyond …
Data-driven cyber-physical system framework for connected resistance spot welding weldability certification
A cyber-physical system is one of the integral parts of the development endeavor of the
smart manufacturing domain and the Industry 4.0 wave. With the advances in data analytics …
smart manufacturing domain and the Industry 4.0 wave. With the advances in data analytics …
The architecture of mass customization-social internet of things system: Current research profile
Z Dou, Y Sun, Z Wu, T Wang, S Fan… - … International Journal of …, 2021 - mdpi.com
In the era of big data, mass customization (MC) systems are faced with the complexities
associated with information explosion and management control. Thus, it has become …
associated with information explosion and management control. Thus, it has become …
A reference architecture and model for sensor data warehousing
Sensor data are becoming far more available thanks to the growth in both sensor systems
and Internet of Things devices. Much of the value of sensor data comes from examining …
and Internet of Things devices. Much of the value of sensor data comes from examining …
Narrowband-IoT based integrated framework for monitoring pipeline condition in oil and gas industry
The recent global development of smart devices in the field of low-power wide area network
(LPWAN) technology and cloud computing has enabled transition of numerous industries …
(LPWAN) technology and cloud computing has enabled transition of numerous industries …