General Electric had 21 patents in digitalization during Q2 2024. General Electric Co filed a patent for a system to diagnose additive manufacturing devices by generating physics features for digital twins of components and classifying their health conditions. Another patent was filed for a power transmission gearbox system for turbomachines, including sensors to monitor strain in static components and determine torque in rotating components based on the strain data. GlobalData’s report on General Electric gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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General Electric had no grants in digitalization as a theme in Q2 2024.
Recent Patents
Application: Systems, and methods for diagnosing an additive manufacturing device using a physics assisted machine learning model (Patent ID: US20240210930A1)
The patent filed by General Electric Co. describes a system for diagnosing an additive manufacturing device using a digital twin of a component. The system involves obtaining parameters and generating physics features for the digital twin, classifying the component based on physics features, and determining the health of the component. The apparatus includes memory and a processor to select classifiers, determine thresholds for physics features, evaluate data, classify operation, and generate outputs based on the classification. The classification can include normal operation, errors, or failures, with outputs providing root causes and corrections for errors.
The system utilizes physics-based models and data science models to monitor and diagnose the additive manufacturing device. The classifiers can be updated based on wear and tear of the device, and the classification process involves a weighted average and transfer functions. Additionally, the patent includes a method for selecting classifiers, determining thresholds, evaluating data, classifying operation, and generating outputs. The method also involves correcting root causes of errors based on the output generated from the classification process.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
