Deep Learning Stranded Neural Network Model for the Detection of Sensory Triggered Events
Maintenance processes are of high importance for industrial plants. They have to be performed regularly and uninterruptedly. To assist maintenance personnel, industrial sensors monitored by distributed control systems observe and collect several machinery parameters in the cloud. Then, machine learn...
Main Authors: | Sotirios Kontogiannis, Theodosios Gkamas, Christos Pikridas |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-04-01
|
Series: | Algorithms |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4893/16/4/202 |
Similar Items
-
Proposed Fuzzy-Stranded-Neural Network Model That Utilizes IoT Plant-Level Sensory Monitoring and Distributed Services for the Early Detection of Downy Mildew in Viticulture
by: Sotirios Kontogiannis, et al.
Published: (2024-02-01) -
Production Plant and Warehouse Automation with IoT and Industry 5.0
by: Zainab Fatima, et al.
Published: (2022-02-01) -
Enhanced Real-Time Maintenance Management Model—A Step toward Industry 4.0 through Lean: Conveyor Belt Operation Case Study
by: David Mendes, et al.
Published: (2023-09-01) -
Driving Speed Estimation and Trapped Drivers’ Detection inside Tunnels Using Distributed MIMO Bluetooth Devices
by: Sotirios Kontogiannis, et al.
Published: (2022-01-01) -
A Novel Smart Healthcare Design, Simulation, and Implementation Using Healthcare 4.0 Processes
by: Adarsh Kumar, et al.
Published: (2020-01-01)