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 …

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 …

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 …

Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach: A review of two decades of research

S Gawde, S Patil, S Kumar, P Kamat, K Kotecha… - … Applications of Artificial …, 2023 - Elsevier
Industry 4.0 is an era of smart manufacturing. Manufacturing is impossible without the use of
machinery. The majority of these machines comprise rotating components and are called …

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 …

Fault handling in industry 4.0: definition, process and applications

H Webert, T Döß, L Kaupp, S Simons - Sensors, 2022 - mdpi.com
The increase of productivity and decrease of production loss is an important goal for modern
industry to stay economically competitive. For that, efficient fault management and quick …

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 …

Intelligent fault diagnostic system for rotating machinery based on IoT with cloud computing and artificial intelligence techniques: a review

M Maurya, I Panigrahi, D Dash, C Malla - Soft Computing, 2024 - Springer
The important part of mechanical equipment is rotating machinery, used mostly in industrial
machinery. Rolling element bearings are the utmost dominant part in rotating machinery, so …

Machine health management in smart factory: A review

GY Lee, M Kim, YJ Quan, MS Kim, TJY Kim… - Journal of Mechanical …, 2018 - Springer
In this paper, we present a review of machine health managements for the smart factory. As
the Industry 4.0 leads current factory automation and intelligent machines, the machine …

Decision making in predictive maintenance: Literature review and research agenda for industry 4.0

A Bousdekis, K Lepenioti, D Apostolou, G Mentzas - IFAC-PapersOnLine, 2019 - Elsevier
The emergence of Industry 4.0 has led to a wide use of sensors which have facilitated
manufacturing operations. Predictive maintenance has significantly benefited from these …