Edge intelligence for data handling and predictive maintenance in IIOT

T Hafeez, L Xu, G Mcardle - IEEE Access, 2021 - ieeexplore.ieee.org
The use of IoT has become pervasive and IoT devices are common in many domains.
Industrial IoT (IIoT) utilises IoT devices and sensors to monitor machines and environments …

Edge computing-assisted IoT framework with an autoencoder for fault detection in manufacturing predictive maintenance

W Yu, Y Liu, T Dillon, W Rahayu - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) enables intelligent predictive maintenance in smart
manufacturing by incorporating IoT technologies, Big Data techniques, artificial intelligence …

From cloud down to things: An overview of machine learning in internet of things

F Samie, L Bauer, J Henkel - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
With the numerous Internet of Things (IoT) devices, the cloud-centric data processing fails to
meet the requirement of all IoT applications. The limited computation and communication …

TIP4. 0: industrial internet of things platform for predictive maintenance

C Resende, D Folgado, J Oliveira, B Franco, W Moreira… - Sensors, 2021 - mdpi.com
Industry 4.0, allied with the growth and democratization of Artificial Intelligence (AI) and the
advent of IoT, is paving the way for the complete digitization and automation of industrial …

Integrated analytics for IIoT predictive maintenance using IoT big data cloud systems

HL Truong - 2018 IEEE International Conference on Industrial …, 2018 - ieeexplore.ieee.org
For predictive maintenance of equipment with Industrial Internet of Things (IIoT)
technologies, existing IoT Cloud systems provide strong monitoring and data analysis …

The role of machine learning techniques in internet of things-based cloud applications

S Mishra, AK Tyagi - Artificial intelligence-based internet of things systems, 2022 - Springer
Abstract Today's Machine Learning (ML) in a blend with Internet of Things (IoT)-based cloud
applications plays a significant role in our everyday life. As indicated by Gartner's recent …

Empowering IoT predictive maintenance solutions with AI: A distributed system for manufacturing plant-wide monitoring

Y Liu, W Yu, T Dillon, W Rahayu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The emergence of Industry 4.0 and the rapid advances in the Industrial Internet of Things
(IIoT) have provided manufacturers with the ability to remotely monitor the process by …

Edge2train: A framework to train machine learning models (svms) on resource-constrained iot edge devices

B Sudharsan, JG Breslin, MI Ali - … of the 10th International Conference on …, 2020 - dl.acm.org
In recent years, ML (Machine Learning) models that have been trained in data centers can
often be deployed for use on edge devices. When the model deployed on these devices …

An evaluative study on IoT ecosystem for smart predictive maintenance (IoT-SPM) in manufacturing: Multiview requirements and data quality

Y Liu, W Yu, W Rahayu, T Dillon - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
With the recent advances of the Internet of Things (IoT), innovative techniques, and concepts
have emerged, such as digital twins and industrial 4.0. As one of the essential parts of a …

Scalable fleet monitoring and visualization for smart machine maintenance and industrial IoT applications

P Moens, V Bracke, C Soete, S Vanden Hautte… - Sensors, 2020 - mdpi.com
The wide adoption of smart machine maintenance in manufacturing is blocked by open
challenges in the Industrial Internet of Things (IIoT) with regard to robustness, scalability and …