Boeing had 59 patents in artificial intelligence during Q4 2023.The Boeing Co filed patents in Q4 2023 for methods and systems related to composite structure damage prediction, flight planning, airport data classification and allocation, maintenance prediction for vehicle components, and predicting aircraft sound pressure levels using deep learning models. These patents aim to improve safety, efficiency, and maintenance processes in the aerospace industry. GlobalData’s report on Boeing gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Boeing grant share with artificial intelligence as a theme is 44% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Method and system for determining ply-by-ply damage in a composite structure (Patent ID: US20230409780A1)
The patent filed by The Boeing Co. describes a computer-implemented method for determining ply-by-ply damage in a composite structure. The method involves receiving a geometric model of the structure, applying material failure models (MFMs) through finite element analysis (FEA) to predict different types of damage due to stress, and using machine learning logic to aggregate the damage predictions. The system can output composite images showing damage to each ply of the structure, making it a comprehensive tool for assessing structural integrity.
Additionally, the patent includes claims for a computing system that performs the method described, storing instruction code on a non-transitory computer-readable medium to facilitate the process. The system applies MFMs to predict stressed-based or fracture-based damage, inputs images into machine learning logic to predict damage occurrence, and can be used for various types of composite structures, including panels subjected to ballistic impacts. Overall, the patent outlines a sophisticated approach to analyzing and predicting damage in composite structures, combining FEA, MFMs, and machine learning to provide a detailed assessment of structural health.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
