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 …

Predictive maintenance in Industry 4.0: A systematic multi-sector mapping

P Mallioris, E Aivazidou, D Bechtsis - CIRP Journal of Manufacturing …, 2024 - Elsevier
Industry 4.0 is strongly intertwined with big data streaming flows from intelligent sensors and
machinery installed in industrial facilities. Failures can disrupt production and lead the …

Digital twin enabled industry 4.0 predictive maintenance under reliability-centred strategy

A Mubarak, M Asmelash, A Azhari… - 2022 First …, 2022 - ieeexplore.ieee.org
This paper introduces the idea of implementing digital twin for predictive maintenance under
open system architecture. Predictive maintenance (PdM) is critical to machines operating …

IoT-based data-driven predictive maintenance relying on fuzzy system and artificial neural networks

A Aboshosha, A Haggag, N George, HA Hamad - Scientific Reports, 2023 - nature.com
Industry 4.0 technologies need to plan reactive and Preventive Maintenance (PM) strategies
for their production lines. This applied research study aims to employ the Predictive …

A survey on predictive maintenance through big data

A Patwardhan, AK Verma, U Kumar - Current Trends in Reliability …, 2016 - Springer
Modern manufacturing systems use thousands of sensors retrieving information at hundreds
to thousands of samples per second. The real time data being generated is mostly used for …

Data-driven fault diagnostics and prognostics for predictive maintenance: A brief overview

G Xu, M Liu, J Wang, Y Ma, J Wang… - 2019 IEEE 15th …, 2019 - ieeexplore.ieee.org
Predictive Maintenance (PdM) is a maintenance strategy which predicts equipment failures
before they occur and then performs maintenance in advance to avoid the occurrence of …

Machine learning based predictive maintenance strategy: a super learning approach with deep neural networks

S Butte, AR Prashanth, S Patil - 2018 IEEE Workshop on …, 2018 - ieeexplore.ieee.org
Effective predictive maintenance (PdM) strategy is needed in microelectronic manufacturing
to reduce cost and loss of cycle time associated with unplanned maintenance events in fab …

A heuristic approach on predictive maintenance techniques: Limitations and scope

K Shukla, S Nefti-Meziani… - Advances in Mechanical …, 2022 - journals.sagepub.com
In view of the trend towards Industry 4.0, intelligent predictive monitoring and decision-
making processes have become a crucial requirement in today's manufacturing industries to …

Predictive maintenance using machine learning

AP Kane, AS Kore, AN Khandale, SS Nigade… - arXiv preprint arXiv …, 2022 - arxiv.org
Predictive maintenance (PdM) is a concept, which is implemented to effectively manage
maintenance plans of the assets by predicting their failures with data driven techniques. In …

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 …