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Machine learning and data analysis video tutorials available from EMPIR project

Factory automation

 

Project on factory of the future is building calibration capabilities for advanced, digital-only industrial sensors

The project 

European Metrology Programme for Innovation and Research (EMPIR) project ‘Metrology for the factory of the future’ (17IND12, Met4FoF) is working to develop calibration methods for advanced digital-only industrial sensors. These sensors can measure dynamic, time-dependent qualities such as acceleration, force, and pressure, and pre-process collected data are quickly becoming the de-facto standard in the industrial Internet of Things. It is vital for manufacturing processes that such digital sensors measuring dynamic qualities are accurate and well calibrated.

The project will establish the infrastructure and software needed to account for measurement uncertainty and quality together with measurement data, and synchronise data flow in sensor networks. This will help facilities at National Measurement Institutes to become digital ready, and enable European factories of the future to be competitive with their global counterparts.

The videos

A set of video tutorials on machine learning and sensor network data analysis has been published on the project website:

  • Introduction to the EMPIR project ‘Metrology for the factory of the Future’
  • Partners' presentations at the IEEE ‘Metrology for industry 4.0’ meeting, June 2020
  • Video recordings from Met4FoF Stakeholder workshop, July 2020
  • Video recordings from joint SmartCom-Met4FoF workshop, January 2021
  • Tutorials for working with the published data sets
  • Tutorials for the multi-agent system agent MET4FOF
  • Training course ‘Metrology in machine learning’

In addition, the following videos will soon be available:

  • Introduction and training course on condition monitoring (ZeMA testbed)
  • Introduction and training course on process optimisation (STRATH testbed)

Introduction and training course on one-touch calibration of MEMS temperature sensors (SPEA testbed)

Project coordinator Sascha Eichstädt from PTB said

‘The project 17IND12 Met4FoF addresses the whole data lifecycle in industrial sensor networks. Our aim is to introduce metrological principles from end-to-end, improving confidence and reliability of measurements in the industrial IoT’.

This EMPIR project is co-funded by the European Union's Horizon 2020 research and innovation programme and the EMPIR Participating States.


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