IoT-based data-driven predictive maintenance relying on fuzzy system and artificial neural networks
Abstract 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 Maintenance (PdM) technology with advanced automation technologies to counter all expected maintenance problems. M...
Main Authors: | Ashraf Aboshosha, Ayman Haggag, Neseem George, Hisham A. Hamad |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-07-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-38887-z |
Similar Items
-
Artificial intelligence and IoT driven technologies for environmental pollution monitoring and management
by: Simona Mariana Popescu, et al.
Published: (2024-02-01) -
IoT-Enabled Predictive Maintenance for Sustainable Transportation Fleets
by: Mittal Vaibhav, et al.
Published: (2024-01-01) -
IoT-Enabled predictive maintenance for sustainable transportation fleets
by: Kansal Lavish, et al.
Published: (2024-01-01) -
An IoT Based Predictive Connected Car Maintenance Approach
by: Rohit Dhall, et al.
Published: (2017-03-01) -
Live demonstration : autoencoder-based predictive maintenance for IoT
by: Gopalakrishnan, Pradeep Kumar, et al.
Published: (2020)