Digital twin-driven supervised machine learning for the development of artificial intelligence applications in manufacturing

Digital Twin in Industry: State-of-the-Art

(2019) Fei Tao et al.   IEEE Transactions on Industrial Informatics

Image-based manufacturing analytics: Improving the accuracy of an industrial pellet classification system using deep neural networks

(2018) Ricardo Rendall et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Deep learning for big data applications in CAD and PLM – Research review, opportunities and case study

(2018) Jonathan Dekhtiar et al.   COMPUTERS IN INDUSTRY

A survey of the advancing use and development of machine learning in smart manufacturing

(2018) Michael Sharp et al.   JOURNAL OF MANUFACTURING SYSTEMS

Deep learning for smart manufacturing: Methods and applications

(2018) Jinjiang Wang et al.   JOURNAL OF MANUFACTURING SYSTEMS

A Generic Deep-Learning-Based Approach for Automated Surface Inspection

(2018) Ruoxu Ren et al.   IEEE Transactions on Cybernetics

An industrial Internet of things based platform for context-aware information services in manufacturing

(2018) Kosmas Alexopoulos et al.   INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING

The digital twin implementation for linking the virtual representation of human-based production tasks to their physical counterpart in the factory-floor

(2018) Nikolaos Nikolakis et al.   INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING

Digital Twin Shop-Floor: A New Shop-Floor Paradigm Towards Smart Manufacturing

(2017) Fei Tao et al.   IEEE Access

Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data

(2016) Feng Jia et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Solving large scale disassembly line balancing problem with uncertainty using reinforcement learning

(2012) Emre Tuncel et al.   JOURNAL OF INTELLIGENT MANUFACTURING

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Digital manufacturing: History, perspectives, and outlook

(2009) G Chryssolouris et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE