Workshop: AI-based Image Processing of Thermographic Rotor Blade Inspections
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BAM Bundesanstalt für Materialforschung und -prüfung
Richard-Willstätter-Straße 11,
12489 Berlin
How can AI-powered thermography help to facilitate rotor blade maintenance in wind park operations?
The Federal Institute for Materials Research and Testing (BAM) and the Marburg-based start-up LATODA have developed a new method to increase the energy yield of wind turbines. The rotor blades are checked for material fatigue using thermography and artificial intelligence. Following the successful completion of a feasibility study, initial results were presented at a workshop in March 2023. The project is to be continued and the AI for image evaluation will be trained with a further 4,000 processed image data sets by summer 2024. In this workshop, we will
- Present the AI methods for analysing thermographic inspection images
- Explain results in detail and in technical depth
- Conduct hands-on training using the BAM-dataset or datasets brought along by participants
- Discuss implications of the method, e.g. for regulation and certification
Content
- Background on theory and technique
- Exkurs digital quality infrastructure (QI-Digital)
- How to scientifically train an AI for the inspection context?
- Critical factors for the selection of training data for machine learning
- Hands-on training: on the BAM data set, or on data sets of the participants
Target Groups
The workshop is primarily aimed at participants with an engineering background who have already had contact with the application of AI. They might feel at home in the following contexts:
- Wind park inspection
- Wind park operation
- Research and development at rotor blade manufacturers
- Regulatory authorities
- Academica and (PhD) students
General Information
- The language of the event is English.
- Maximum number of participants: 25
- Participation is free of charge.
- The workshop is funded by the Initiative QI-Digital.