Challenges in predictive maintenance–A review
Predictive maintenance (PdM) aims the reduction of costs to increase the competitive
strength of the enterprises. It uses sensor data together with analytics techniques to optimize …
strength of the enterprises. It uses sensor data together with analytics techniques to optimize …
[HTML][HTML] Industry 4.0 smart reconfigurable manufacturing machines
This paper provides a fundamental research review of Reconfigurable Manufacturing
Systems (RMS), which uniquely explores the state-of-the-art in distributed and decentralized …
Systems (RMS), which uniquely explores the state-of-the-art in distributed and decentralized …
IoT and fog-computing-based predictive maintenance model for effective asset management in Industry 4.0 using machine learning
The assets in Industry 4.0 are categorized into physical, virtual, and human. The innovation
and popularization of ubiquitous computing enhance the usage of smart devices: RFID tags …
and popularization of ubiquitous computing enhance the usage of smart devices: RFID tags …
Data mining in predictive maintenance systems: A taxonomy and systematic review
Predictive maintenance is a field of study whose main objective is to optimize the timing and
type of maintenance to perform on various industrial systems. This aim involves maximizing …
type of maintenance to perform on various industrial systems. This aim involves maximizing …
Extreme communication in 6G: Vision and challenges for 'in-X'subnetworks
The 6th Generation (6G) radio access technology is expected to support extreme
communication requirements in terms of throughput, latency and reliability, which can only …
communication requirements in terms of throughput, latency and reliability, which can only …
Deep-reinforcement-learning-based predictive maintenance model for effective resource management in industrial IoT
Unplanned breakdown of critical equipment interrupts production throughput in Industrial IoT
(IIoT), and data-driven predictive maintenance (PdM) becomes increasingly important for …
(IIoT), and data-driven predictive maintenance (PdM) becomes increasingly important for …
Manufacturing as a data-driven practice: methodologies, technologies, and tools
T Cerquitelli, DJ Pagliari, A Calimera… - Proceedings of the …, 2021 - ieeexplore.ieee.org
In recent years, the introduction and exploitation of innovative information technologies in
industrial contexts have led to the continuous growth of digital shop floor environments. The …
industrial contexts have led to the continuous growth of digital shop floor environments. The …
Deep learning-based cloud–edge collaboration framework for remaining useful life prediction of machinery
T Jing, X Tian, H Hu, L Ma - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
In the context of Industry 4.0, intelligent manufacturing services put forward the requirement
of rapid response in the remaining useful life (RUL) of machinery. To achieve fast …
of rapid response in the remaining useful life (RUL) of machinery. To achieve fast …
End-to-End Service Availability in Heterogeneous Multi-Tier Cloud–Fog–Edge Networks
I Kabashkin - Future Internet, 2023 - mdpi.com
With the evolution towards the interconnected future internet spanning satellites, aerial
systems, terrestrial infrastructure, and oceanic networks, availability modeling becomes …
systems, terrestrial infrastructure, and oceanic networks, availability modeling becomes …
ELFpm: A machine learning framework for industrial machines prediction of remaining useful life
The topic of predictive maintenance has great relevance in the search for the rationalization
and efficiency of the industrial plants in the context of Industry 4.0. Monitoring equipment …
and efficiency of the industrial plants in the context of Industry 4.0. Monitoring equipment …