Automatic Borescope Damage Assessments for Gas Turbine Blades via Deep Learning
Author:
Affiliation:
1. University of Cambridge
2. Imperial College London
Publisher
American Institute of Aeronautics and Astronautics
Reference34 articles.
1. Common failures in gas turbine blades
2. Taxonomy of Gas Turbine Blade Defects
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