Digitalization of an Industrial Process for Bearing Production

The developments in sensing, actuation, and algorithms, both in terms of Artificial Intelligence (AI) and data treatment, have open up a wide range of possibilities for improving the quality of the production systems in diverse industrial fields. The present paper describes the automatizing process...

Full description

Saved in:
Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2024-12, Vol.24 (23), p.7783
Main Authors: Rodriguez-Fortun, Jose-Manuel, Alvarez, Jorge, Monzon, Luis, Salillas, Ricardo, Noriega, Sergio, Escuin, David, Abadia, David, Barrutia, Aitor, Gaspar, Victor, Romeo, Jose Antonio, Cebrian, Fernando, Del-Hoyo-Alonso, Rafael
Format: Article
Language:English
Subjects:
Accelerometers
Accuracy
Acoustics
Algorithms
Analysis
Artificial intelligence
Bearings
burns
Digital technology
digitalization
grinding
Grinding tools
Industry 4.0
machine learning
Manufacturing
Process controls
Product quality
Quality control
Real time
Sensors
waviness
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The developments in sensing, actuation, and algorithms, both in terms of Artificial Intelligence (AI) and data treatment, have open up a wide range of possibilities for improving the quality of the production systems in diverse industrial fields. The present paper describes the automatizing process performed in a production line for high-quality bearings. The actuation considered new sensing elements at the machine level and the treatment of the information, fusing the different sources in order to detect quality defects in the grinding process (waviness, burns) and monitoring the state of the tool. At a supervision level, an AI model has been developed for monitoring the complete line and compensating deviations in the dimension of the final assembly. The project also contemplated the hardware architecture for improving the data acquisition and communication among the machines and databases, the data treatment units, and the human interfaces. The resulting system gives feedback to the operator when deviations or potential errors are detected so that the quality issues are recognized and can be amended in advance, thereby reducing the quality cost.
ISSN:1424-8220
1424-8220
DOI:10.3390/s24237783