Deep learning models for predictive maintenance: a survey, comparison, challenges and prospects

O Serradilla, E Zugasti, J Rodriguez, U Zurutuza - Applied Intelligence, 2022 - Springer
Given the growing amount of industrial data in the 4th industrial revolution, deep learning
solutions have become popular for predictive maintenance (PdM) tasks, which involve …

Predictive maintenance for sme in industry 4.0

V Rastogi, S Srivastava, M Mishra… - 2020 Global Smart …, 2020 - ieeexplore.ieee.org
Technology and businesses go hand in hand in this modern bustling work environment. The
rapid change in the IT sector necessitates that corporations change accordingly. Industry 4.0 …

Modeling and simulation of 5g-based edge networks for lightweight machine learning applications

I Briggs, V Ivy, D Berdik, F Wedyan… - 2022 IEEE Symposium …, 2022 - ieeexplore.ieee.org
Edge networking is poised to have a major impact in a number of fields, applications and
services. In order to facilitate this, more advanced simulation will be necessary to model …

Cutting-Edge Anomaly Detection for Predictive Maintenance: Integrating IoT and Machine Learning

R Ūselis, R Pomarnacki… - 2024 IEEE 11th Workshop …, 2024 - ieeexplore.ieee.org
Anomaly detection in predictive maintenance is crucial for enhancing operational efficiency
and reducing downtime. In this study, we present a comprehensive approach to anomaly …

Edge processing in IoT using approximate and in-memory computing

SK Bose - 2021 - dr.ntu.edu.sg
With a large number of sensors getting connected to the internet, scalability of Internet of
Things (IoT) has started to hinge on Edge computing-the ability to partly process the raw …