Self-assembly of Structural Health Monitoring Diagnostic Systems
Supervisors: Dr G Manson, Professor K Worden
This project will be concerned with building an automated system capable of optimal selection of machine learning algorithms and associated parameters for improved damage diagnosis, primarily in the aerospace industry.
Previous experience / requirements: Dynamics or machine learning
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