Big data for cyber physical systems in industry 4.0: a survey

By Lida Xu, Lian Duan. Enterprise Information Systems, 2019

453 citations recorded by the source corpus.

Subfields: Industrial and Manufacturing Engineering, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/4e13a8e8ba8d33e15ed037bfca7c651047533990

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Industrial and Manufacturing Engineering

1. Marco Perona
2. Andrea Bacchetti
3. Ting Zheng
4. Valerio Persico
5. Antonio Pescapè
6. Giuseppe Aceto
7. Marco Ardolino

In Management Information Systems

1. Marco Perona
2. Andrea Bacchetti
3. Ting Zheng
4. Valerio Persico
5. Antonio Pescapè
6. Marco Ardolino

Citations in the corpus

• The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review (2020, methodology): “Indeed, BDA has been effectively applied to predicting the lifecycle of equipment, tools and robots (Illa and Padhi 2018; Tao and Qi 2019; Xu and Duan 2019; Yan et al. 2018).”
• Tackling Faults in the Industry 4.0 Era—A Survey of Machine-Learning Solutions and Key Aspects (2019, background): “In addition, a detailed survey of big data structure and analytic techniques for CPS were examined in Reference [21].”
• A Survey on Information and Communication Technologies for Industry 4.0: State-of-the-Art, Taxonomies, Perspectives, and Challenges (2019, background): “While [40]–[44] focus each on a specific aspect, thus cannot capture the technological complexity of I4.”