Automatic Borescope Damage Assessments for Gas Turbine Blades via Deep Learning (2021)
Attributed to:
Strategic Priorities Fund - AI for Science, Engineering, Health and Government
funded by
SPF
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.2514/6.2021-1488
Publication URI: http://dx.doi.org/10.2514/6.2021-1488
Type: Conference/Paper/Proceeding/Abstract