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 …
approaches, communication systems, future-oriented techniques, and more. However, the …
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 …
systems, big data, cloud computing, and industrial wireless networks. Intelligent …
Big data analytics for predictive maintenance strategies
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 …
production as any breakdown of machine or equipment may lead to disruption for the supply …
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 …
modern industries with Cyber-Physical Systems, Internet of Things and Internet of Services …
[HTML][HTML] An industrial big data pipeline for data-driven analytics maintenance applications in large-scale smart manufacturing facilities
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 …
transmission and analysis of data from across the factory creates manufacturing intelligence …
Big data and stream processing platforms for Industry 4.0 requirements mapping for a predictive maintenance use case
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 …
of digital, autonomous, and decentralized control for manufacturing systems. Two key …
A hybrid machine learning approach for predictive maintenance in smart factories of the future
Advanced technologies based on Internet of Things (IOT) are blazing a trail to effective and
efficient management of an overall plant. In this context, manufacturing companies require …
efficient management of an overall plant. In this context, manufacturing companies require …
A big data analytics architecture for cleaner manufacturing and maintenance processes of complex products
Cleaner production (CP) is considered as one of the most important means for
manufacturing enterprises to achieve sustainable production and improve their sustainable …
manufacturing enterprises to achieve sustainable production and improve their sustainable …
CBI4. 0: A cross-layer approach for big data gathering for active monitoring and maintenance in the manufacturing industry 4.0
Abstract Industry 4.0 (I4. 0) defines a new paradigm to produce high-quality products at the
low cost by reacting quickly and effectively to changing demands in the highly volatile global …
low cost by reacting quickly and effectively to changing demands in the highly volatile global …
Edge computing-assisted IoT framework with an autoencoder for fault detection in manufacturing predictive maintenance
The Industrial Internet of Things (IIoT) enables intelligent predictive maintenance in smart
manufacturing by incorporating IoT technologies, Big Data techniques, artificial intelligence …
manufacturing by incorporating IoT technologies, Big Data techniques, artificial intelligence …