-
公开(公告)号：US20200090315A1
公开(公告)日：2020-03-19
申请号：US16132904
申请日：2018-09-17
Applicant: GENERAL ELECTRIC COMPANY
Abstract: A system for inspecting objects includes an imaging assembly, a detection module, an analysis module, and a memory. The imagining assembly can be a borescope that enters an unlit, closed conduit to inspect objects that are components of a turbine engine. Using an artificial light source to illuminate the conduit and one or more objects of the turbine engine, the borescope can obtain a video image of the one or more objects of the turbine engine. The video image can be used to determine a rank of distress for the one or more objects.
-
公开(公告)号：US11010887B2
公开(公告)日：2021-05-18
申请号：US16132904
申请日：2018-09-17
Applicant: GENERAL ELECTRIC COMPANY
Abstract: A system for inspecting objects includes an imaging assembly, a detection module, an analysis module, and a memory. The imagining assembly can be a borescope that enters an unlit, closed conduit to inspect objects that are components of a turbine engine. Using an artificial light source to illuminate the conduit and one or more objects of the turbine engine, the borescope can obtain a video image of the one or more objects of the turbine engine. The video image can be used to determine a rank of distress for the one or more objects.
-
3.发明申请公开(公告)号：US20200349390A1
公开(公告)日：2020-11-05
申请号：US16399337
申请日：2019-04-30
Applicant: General Electric Company
Inventor： Rajkumar Singha Konwar , Mani Abedini
Abstract: Systems and techniques for providing an artificial intelligence based annotation framework with active learning for image analytics are presented. In one example, a system annotates training data associated with a set of images for a feature learning process. The system also incrementally updates an analytics artificial intelligence model for an engineering component based on the feature learning process.
-
-
Search Results
3
records
(took 0.011 seconds)
