Smart Anomaly Detection and Prediction for Assembly Process Maintenance in Compliance with Industry 4.0
One of the big problems of today’s manufacturing companies is the risks of the assembly line unexpected cessation. Although planned and well-performed maintenance will significantly reduce many of these risks, there are still anomalies that cannot be resolved within standard maintenance approaches....
Main Authors: | Pavol Tanuska, Lukas Spendla, Michal Kebisek, Rastislav Duris, Maximilian Stremy |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-03-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/7/2376 |
Similar Items
-
Anomaly Detection and Classification in Predictive Maintenance Tasks with Zero Initial Training
by: Filippo Morselli, et al.
Published: (2021-10-01) -
Proposal for an IIoT Device Solution According to Industry 4.0 Concept
by: Andrea Vaclavova, et al.
Published: (2022-01-01) -
Lean 4.0: An analytical approach for hydraulic system maintenance in a production line of a steel-making plant
by: Nuno Torre, et al.
Published: (2023-09-01) -
TIP4.0: Industrial Internet of Things Platform for Predictive Maintenance
by: Carlos Resende, et al.
Published: (2021-07-01) -
Maintenance Performance in the Age of Industry 4.0: A Bibliometric Performance Analysis and a Systematic Literature Review
by: Sylwia Werbińska-Wojciechowska, et al.
Published: (2023-01-01)