Scania 5: Scania Production Line: 'Data-driven' control of mechanical maintenance
In this project, the Saxion Ambient Intelligence (AmI) research group is investigating for Scania how data from the production line can be converted into useful information for maintenance engineers with which they can minimize maintenance and prevent malfunctions. kst
This project builds on the TFF project 'Scania Production Line: From Corrective to Predictive Maintenance'. Sensor data from the Carriers that transport the truck assemblies through the production line is used to monitor the systems of these Carriers.
In this project we investigate how this sensor data can be analyzed in real time using artificial intelligence to generate valuable information that enables maintenance engineers to not only quickly locate faults but, more importantly, prevent them.
Topic
Smart Industry, data analysis, sensor technology, artificial intelligence, predictive maintenance, monitoring platform, data extraction, information presentation.
Project objectives
The main goal of this project is to use real-time monitoring data to provide maintenance engineers with necessary information, allowing them to perform more targeted and efficient maintenance and identify and resolve faults before they disrupt the production process.
Partners
Scania Production Zwolle B.V., Saxion University of Applied Sciences, research group AmI (secretary), Windesheim University of Applied Sciences.
Duration
1 September 2023 until 31 January 2025.
Financing
This project was made possible by Tech For Future (TFF)
More information
For more information, please contact Jan Veltman:
