MACHINE LEARNING SYSTEM FOR IN-SITU RECOGNITION OF COMMON LOCATIONS IN A ROTATABLE BODY WITH REPEATING SEGMENTS

Patent №

US 10,691,985

Granted

2020-06-23

Filed 2017

Owner

GENERAL ELECTRIC COMPANY

Lab

AI components

1

vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15714208

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.

VisionG01N 21/954F01D 5/005F01D 21/003G06F 18/217G06T 7/0006G06V 10/75F05D 2220/32F05D 2230/80+6 more

AI classification

Vision1.00
Knowledge representation0.27
Evolutionary computation0.09
Machine learning0.09
Natural language0.00
AI hardware0.00
Planning0.00
Speech0.00

Ownership

GENERAL ELECTRIC COMPANY

assignment · 436820147

Assignors

LIM, SER NAM, DIWINSKY, DAVID SCOTT

On an employer assignment, the assignors are typically the inventors.

From the same owner

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