Baker Hughes had 12 patents in artificial intelligence during Q2 2024. Baker Hughes Co filed patents in Q2 2024 for systems and methods related to spectral emission characterization, anomaly detection in additive manufacturing, sensor health monitoring, training condition monitoring systems, and an inverted diffuser for wellheads and wellsite equipment. These patents cover a range of technologies aimed at improving efficiency, accuracy, and safety in industrial processes. GlobalData’s report on Baker Hughes gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Baker Hughes had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Spectral flame measurements of industrial flames (Patent ID: US20240183713A1)
The patent by Baker Hughes Co. describes a system and method for characterizing spectral emission from a flame. The method involves receiving data from a spectral sensor, determining functions to analyze the data, identifying a peak subset of the data, and determining parameters of interest based on this peak subset. The system includes a spectral sensor, a computing device with a processor and memory, and operations to process the data and determine parameters of interest.
The method and system outlined in the patent focus on analyzing spectral emission data from a flame to determine parameters of interest such as emissions and combustion characteristics. By utilizing a spectral sensor with specific capabilities and functions to reduce data, the system can accurately identify peak subsets within the data and extract relevant information. The parameters of interest can include both long-term factors like emissions content and dynamic factors like combustion temperature and air-fuel ratio. The system also includes a user interface display to present the parameters of interest, providing a dynamic plot of the data over time. Additionally, the system incorporates machine learning algorithms and components like a light transmitting device and analog to digital converter for comprehensive data analysis.
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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.
