Rolls-Royce had 11 patents in artificial intelligence during Q4 2023. Rolls-Royce Holdings Plc has filed patents for methods and systems related to predictive maintenance and monitoring of components in abrasive environments. These patents include techniques for modelling degradation, maintenance management of propulsion systems, hybrid power systems, monitoring mechanical damage of rotating shafts, and diagnosing machine conditions through excitations and response indicators. GlobalData’s report on Rolls-Royce gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

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Rolls-Royce grant share with artificial intelligence as a theme is 9% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Surface assessment (Patent ID: US20230401786A1)

The patent filed by Rolls-Royce Holdings Plc describes a computer-implemented method for modeling the degradation of components in abrasive environments. The method involves obtaining a 3D scan of the component's surface, processing the data to determine surface properties, inputting the data into a prediction model, predicting component performance, and simulating surface evolution over time. The trained prediction model is specific to the operational process and uses calibration data from similar components in similar environments. The method calculates performance parameters for abrasive tools, rotary dressers, or component surfaces, considering factors like grain number, size, and condition.

Additionally, the method estimates the remaining lifespan of the component and simulates 3D grain geometry to reflect wear mechanisms. It also calculates total active area, number of grains, and various parameters for each active grain. The process involves planar slicing of 3D image data to generate binary images and calculate properties like cutting-edge number evolution, grain packing density, and active grain shape. Furthermore, the method includes estimating abrasive surface removal forces and power during the process. Overall, the patent outlines a comprehensive approach to modeling component degradation in abrasive environments, utilizing advanced imaging techniques and predictive modeling to optimize performance and lifespan.

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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.