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 …

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 …

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 …

An agent-based platform for web-enabled equipment predictive maintenance

Y Li, L Chun, ANY Ching - IEEE/WIC/ACM International …, 2005 - ieeexplore.ieee.org
Conceptually, Web-integration predictive maintenance approaches are potential to meet the
higher requirements of global equipment maintenance, such as zero-downtime and …

Overview of predictive maintenance based on digital twin technology

D Zhong, Z Xia, Y Zhu, J Duan - Heliyon, 2023 - cell.com
The upgrade and development of manufacturing industry makes predictive maintenance
more and more important, but the traditional predictive maintenance can not meet the …

Predictive maintenance planning for industry 4.0 using machine learning for sustainable manufacturing

MH Abidi, MK Mohammed, H Alkhalefah - Sustainability, 2022 - mdpi.com
With the advent of the fourth industrial revolution, the application of artificial intelligence in
the manufacturing domain is becoming prevalent. Maintenance is one of the important …

Intelligent predictive maintenance for fault diagnosis and prognosis in machine centers: Industry 4.0 scenario

Z Li, Y Wang, KS Wang - Advances in Manufacturing, 2017 - Springer
Fault diagnosis and prognosis in mechanical systems have been researched and
developed in the last few decades at a very rapid rate. However, owing to the high …

Manufacturing paradigm-oriented PHM methodologies for cyber-physical systems

T Xia, L Xi - Journal of Intelligent Manufacturing, 2019 - Springer
In today's competitive environment of Industry 4.0, cyber-physical systems (CPS) of various
advanced manufacturing paradigms have brought new challenges to maintenance …

A design of predictive manufacturing system in IoT‐assisted Industry 4.0 using heuristic‐derived deep learning

P Murugiah, A Muthuramalingam… - International Journal …, 2023 - Wiley Online Library
The predictive maintenance function is ensured with the earlier detection of errors and faults
in the machinery before reaching its critical stages. On the other hand, the challenges faced …

Probing an intelligent predictive maintenance approach with deep learning and augmented reality for machine tools in IoT-enabled manufacturing

C Liu, H Zhu, D Tang, Q Nie, T Zhou, L Wang… - Robotics and Computer …, 2022 - Elsevier
Abstract In the Industry 4.0 era, the number and complexity of machine tools are both
increased, which is prone to cause malfunctions and downtime in the manufacturing …