Systems, and methods for diagnosing an additive manufacturing device using a physics assisted machine learning model

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United States of America Patent

PATENT NO 11906955
APP PUB NO 20230092383A1
SERIAL NO

17991462

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ATTORNEY / AGENT: (SPONSORED)

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Abstract

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A system for diagnosing an additive manufacturing device is provided. The system includes a first module configured to: obtain one or more parameters for a digital twin of a component of the additive manufacturing device based on raw data from the component of the additive manufacturing device; and generate physics features for the digital twin of the component of the additive manufacturing device based on the one or more parameters and one or more transfer functions, a second module configured to obtain one or more classifiers for classifying the component as a first condition or a second condition based on physics features; and a third module configured to: determine a health of the component based on the generated physics features of the first model and the one or more classifiers.

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Patent Owner(s)

  • GENERAL ELECTRIC COMPANY

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Arumskog, Pär Christoffer Molnlycke, SE 2 1
Fager, Mattias Molnlycke, SE 17 645
Navalgund, Megha Bengaluru, IN 8 43
Ponnada, V S S Srivatsa Bengaluru, IN 3 1
Rachakonda, Venkata Dharma Surya Narayana Sastry Bengaluru, IN 3 1

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