Advanced Energy Industries had two patents in artificial intelligence during Q4 2023. The patent filed by Advanced Energy Industries Inc in Q4 2023 describes a system and method for optimizing maintenance of a remote plasma source by recording data, analyzing correlations between operating characteristics and system fault events, and determining a threshold for predicting pending system fault events. This allows for timely preventative maintenance notifications to be sent out. GlobalData’s report on Advanced Energy Industries gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
Advanced Energy Industries grant share with artificial intelligence as a theme is 50% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Maintenance for remote plasma sources (Patent ID: US20230360887A1)
The patent filed by Advanced Energy Industries Inc. describes a system and method for optimizing maintenance of a remote plasma source by recording data indicative of operating characteristics and system fault events, analyzing the data, and determining a threshold operating point based on correlations between the measurements and fault events. The threshold indicates the probability of a pending system fault event within a specified window of time, triggering a notification for preventative maintenance. The system includes a remote plasma source, data acquisition device, and a machine learning component to provide notifications based on correlations between recorded data and user-input data.
The method involves recording data from the remote plasma source, determining correlations between operating characteristics and user-input data, establishing a threshold operating point based on these correlations, and providing a notification for preventative maintenance when the threshold is met. The machine learning component can also develop an algorithm to set the threshold automatically, ensuring that pending system fault events are predicted with a defined degree of confidence. Additionally, the system and method can be applied to multiple remote plasma sources in different geographical locations, recording data from each source and providing notifications for preventative maintenance based on the correlations between measurements and fault events.
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