Workshop AIMEE 2022

Date: 15.03.2022, Time: 10:00 am - 1:00 pm

As a result of the enormous progress made in recent years, AI processes are already being used successfully in countless areas of industry across all sectors. In this online workshop, we will use the case study of an electric traction test bench to discuss how artificial intelligence can be used to analyze and evaluate large amounts of data from industrial processes. Based on this use case, the potential of AI methods for optimizing the testing and evaluation process of electric motors can be demonstrated. Among other things, strategies for detecting and avoiding errors are developed. However, the development and application of AI methods requires specific knowledge in the respective field of application to process and provide data and information for the algorithms' learning process. In many cases, mastering this is the biggest challenge. In this workshop, we would like to share our knowledge and experience in solving these and many other challenges using various examples. As part of an open discussion round, we will jointly develop possible areas of application from the everyday work of the workshop participants and discuss implementation options.

Procedure

10:00 - 10:30 a.m. Greeting: Prof. Dr. rer. nat. Ludwig Brabetz

Intro presentation - Florian Bethke

Experimental Evaluation of electrical motors

10:30 - 10:50 a.m. Presentation slot A: Diego Botache

Machine Learning Empowered Monitoring of Motor Test Benches

10:50 - 11:10 a.m. Presentation slot B: Martin Hardieck

Optimized Hardware Implementation of Deep Neural Networks

11:10 - 11:30 a.m. Coffee break

11:30 - 12:00 Keynote: Lena Weirauch

Predictive maintenance - the maintenance strategy of the future

12:00 - 12:45 Plenary discussion :

Status and challenges in the adoption of AI in industry

12:45 - 13:00 Conclusion

Guest: