A manufacturing big data solution for active preventive maintenance

J Wan, S Tang, D Li, S Wang, C Liu… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Industry 4.0 has become more popular due to recent developments in cyber-physical
systems, big data, cloud computing, and industrial wireless networks. Intelligent …

Industry 4.0-potentials for predictive maintenance

Z Li, K Wang, Y He - 6th international workshop of advanced …, 2016 - atlantis-press.com
Industry 4.0 represents the coming fourth industrial revolution on the way to combine
modern industries with Cyber-Physical Systems, Internet of Things and Internet of Services …

Industrial big data in an industry 4.0 environment: Challenges, schemes, and applications for predictive maintenance

J Yan, Y Meng, L Lu, L Li - Ieee Access, 2017 - ieeexplore.ieee.org
Industry 4.0 can make a factory smart by applying intelligent information processing
approaches, communication systems, future-oriented techniques, and more. However, the …

Developing a factory-wide intelligent predictive maintenance system based on Industry 4.0

YC Chiu, FT Cheng, HC Huang - Journal of the Chinese Institute of …, 2017 - Taylor & Francis
The main purpose of predictive maintenance (PdM) is to reduce unscheduled downtime and
consequently improve productivity and reduce production cost. PdM has been featured as a …

Big data analytics for predictive maintenance strategies

CKM Lee, Y Cao, KH Ng - Supply Chain Management in the Big …, 2017 - igi-global.com
Maintenance aims to reduce and eliminate the number of failures occurred during
production as any breakdown of machine or equipment may lead to disruption for the supply …

Big data and stream processing platforms for Industry 4.0 requirements mapping for a predictive maintenance use case

R Sahal, JG Breslin, MI Ali - Journal of manufacturing systems, 2020 - Elsevier
Industry 4.0 is considered to be the fourth industrial revolution introducing a new paradigm
of digital, autonomous, and decentralized control for manufacturing systems. Two key …

A global manufacturing big data ecosystem for fault detection in predictive maintenance

W Yu, T Dillon, F Mostafa, W Rahayu… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Artificial intelligence, big data, machine learning, cloud computing, and Internet of Things
(IoT) are terms which have driven the fourth industrial revolution. The digital revolution has …

[HTML][HTML] An industrial big data pipeline for data-driven analytics maintenance applications in large-scale smart manufacturing facilities

P O'Donovan, K Leahy, K Bruton, DTJ O'Sullivan - Journal of big data, 2015 - Springer
The term smart manufacturing refers to a future-state of manufacturing, where the real-time
transmission and analysis of data from across the factory creates manufacturing intelligence …

Predictive maintenance in the Industry 4.0: A systematic literature review

T Zonta, CA Da Costa, R da Rosa Righi… - Computers & Industrial …, 2020 - Elsevier
Industry 4.0 is collaborating directly for the technological revolution. Both machines and
managers are daily confronted with decision making involving a massive input of data and …

A new paradigm of cloud-based predictive maintenance for intelligent manufacturing

J Wang, L Zhang, L Duan, RX Gao - Journal of Intelligent Manufacturing, 2017 - Springer
Advances in cloud computing reshape the manufacturing industry into dynamically scalable,
on-demand service oriented, and highly distributed cost-efficient business model. However it …