Lam Research had five patents in artificial intelligence during Q4 2023. The patent filed by Lam Research Corp in Q4 2023 relates to systems and methods for predictive maintenance in semiconductor manufacturing equipment. The system uses historical operating conditions and manufacturing information to calculate predicted equipment health status, which is then adjusted based on real-time data to provide expected remaining useful life of components. GlobalData’s report on Lam Research gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Lam Research grant share with artificial intelligence as a theme is 60% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Predictive maintenance for semiconductor manufacturing equipment (Patent ID: US20230400847A1)
The patent filed by Lam Research Corp. describes systems and methods for predictive maintenance in semiconductor manufacturing equipment. The system includes a processor that uses offline data and real-time data to calculate predicted equipment health status, estimate equipment health status, and present adjusted equipment health status information, including expected remaining useful life of components. The system can detect anomalous conditions, identify failure types, and recommend modifications to improve equipment health.
The predictive maintenance system utilizes historical operating conditions, manufacturing information, and physics-based simulation data to train a neural network for predicting equipment health status. The system generates physics-based simulation values, trains the neural network using offline data and simulation values, and can recommend component removal based on predicted health status. The system also incorporates Failure Mode and Effects Analysis (FMEA) information, design information, and quality data to enhance predictive maintenance capabilities.
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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.
