- Home
- Publications
- Publication Search
- Publication Details
Title
Development of an edge computing-based cyber-physical machine tool
Authors
Keywords
Digital twin, Mapping, Edge computing, Machine tool
Journal
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
Volume 67, Issue -, Pages 102042
Publisher
Elsevier BV
Online
2020-07-30
DOI
10.1016/j.rcim.2020.102042
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A generic tri-model-based approach for product-level digital twin development in a smart manufacturing environment
- (2020) Pai Zheng et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- A hybrid predictive maintenance approach for CNC machine tool driven by Digital Twin
- (2020) Weichao Luo et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- A Cyber-Physical Machine Tools Platform using OPC UA and MTConnect
- (2019) Chao Liu et al. JOURNAL OF MANUFACTURING SYSTEMS
- A survey of smart product-service systems: Key aspects, challenges and future perspectives
- (2019) Pai Zheng et al. ADVANCED ENGINEERING INFORMATICS
- Edge-cloud orchestration driven industrial smart product-service systems solution design based on CPS and IIoT
- (2019) Bufan Liu et al. ADVANCED ENGINEERING INFORMATICS
- Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues
- (2019) Yuqian Lu et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- Digital twin-driven rapid reconfiguration of the automated manufacturing system via an open architecture model
- (2019) Jiewu Leng et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- A systematic design approach for service innovation of smart product-service systems
- (2018) Pai Zheng et al. JOURNAL OF CLEANER PRODUCTION
- Digital twin for CNC machine tool: modeling and using strategy
- (2018) Weichao Luo et al. Journal of Ambient Intelligence and Humanized Computing
- Smart, connected open architecture product: an IT-driven co-creation paradigm with lifecycle personalization concerns
- (2018) Pai Zheng et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Design of a machine tool control system for function reconfiguration and reuse in network environment
- (2018) Yingxue Yao et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- Machine Tool 4.0 for the new era of manufacturing
- (2017) Xun Xu INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- A new high-performance open CNC system and its energy-aware scheduling algorithm
- (2017) Chang-yi Deng et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Digital twin-driven product design, manufacturing and service with big data
- (2017) Fei Tao et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Digital Twin Shop-Floor: A New Shop-Floor Paradigm Towards Smart Manufacturing
- (2017) Fei Tao et al. IEEE Access
- An IoT-Aware Architecture for Smart Healthcare Systems
- (2015) Luca Catarinucci et al. IEEE Internet of Things Journal
- Relative density-based classification noise detection
- (2014) Shu-yin Xia et al. OPTIK
- Sparsely connected neural network-based time series forecasting
- (2012) Z.X. Guo et al. INFORMATION SCIENCES
- Distributed Detection Over Adaptive Networks Using Diffusion Adaptation
- (2011) Federico S. Cattivelli et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Patient classification as an outlier detection problem: An application of the One-Class Support Vector Machine
- (2011) Janaina Mourão-Miranda et al. NEUROIMAGE
- From cloud computing to cloud manufacturing
- (2011) Xun Xu ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- A review on time series data mining
- (2010) Tak-chung Fu ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Detection of Gauss–Markov Random Fields With Nearest-Neighbor Dependency
- (2009) Animashree Anandkumar et al. IEEE TRANSACTIONS ON INFORMATION THEORY
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started