Machine learning for weldment classification and correlation

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United States of America Patent

PATENT NO 10875125
APP PUB NO 20180361514A1
SERIAL NO

15627867

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ATTORNEY / AGENT: (SPONSORED)

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Abstract

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Embodiments of systems and methods for characterizing weldments are disclosed. One embodiment includes a method of generating an algorithm for classifying weldments as meeting or not meeting a specification. Training data is read by a machine learning system. The training data includes cross-sectional images of training weldments, truth data indicating whether the training weldments meet the specification or not, and training weld data associated with creating the training weldments. The machine learning system trains up an algorithm using the training data such that the resultant algorithm can classify a subsequent test weldment as meeting the specification or not meeting the specification when a cross-sectional image of the test weldment and test weld data used to create the test weldment are read and processed by the classification algorithm as trained.

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Patent Owner(s)

Patent OwnerAddress
LINCOLN GLOBAL INC9160 NORWALK BOULEVARD SANTA FE SPRINGS CA 90670

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Kottman, Michael A Cleveland, US 5 31
Narayanan, Badri K Highland Hts., US 34 297
Procario, John R Strongsville, US 4 8

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