General Electric Company
Machine learning system for in-situ recognition of common locations in a rotatable body with repeating segments

Last updated:

Abstract:

A system includes one or more processors configured to automatically identify different distressed portions in repeating segments of a rotating body. At least one of a size and/or a shape of one or more of the distressed portions changes with respect to time. The one or more processors also are configured to determine a pattern of the different distressed portions in the repeating segments of the rotating body during rotation of the rotating body based on identifying the different distressed portions. The one or more processors also are configured to subsequently automatically identify locations of individual segments of the repeating segments in the rotating body using the pattern of the distressed portions that is determined.

Status:
Grant
Type:

Utility

Filling date:

25 Sep 2017

Issue date:

23 Jun 2020