Vestas Wind Systems had 14 patents in artificial intelligence during Q2 2024. The patents filed by Vestas Wind Systems AS in Q2 2024 focus on methods utilizing machine learning models to analyze operational data from wind turbines. These methods aim to predict and identify root causes of faults, generate alerts for potential problems in gearbox and generator components, detect anomalies and predict future faults in renewable energy assets, and control wind turbine operations based on data analysis to optimize performance and prevent safety issues. GlobalData’s report on Vestas Wind Systems gives a 360-degree view of the company including its patenting strategy. Buy the report here.
Smarter leaders trust GlobalData
Vestas Wind Systems had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Root cause analysis of a wind turbine system (Patent ID: US20240209838A1)
The patent filed by Vestas Wind Systems AS describes a method for root cause analysis in wind turbine systems using a machine learning model. The method involves obtaining operational data related to a fault, determining candidate root causes through the machine learning model, and providing output data indicating at least one root cause of the fault. The machine learning model can classify and locate root causes, with different models having varying orders of execution. The operational data includes logs, telemetry data, and configuration data, and the model is trained on fault data, root causes, and historical operational data.
Additionally, the patent includes claims for a root cause analysis system and a computer-readable storage medium storing programs for performing the method. The system comprises memory and processor circuitry to obtain operational data, determine candidate root causes using the machine learning model, and provide output data indicating the root cause of the fault. The computer-readable storage medium contains programs that execute the method by obtaining operational data, determining candidate root causes through the machine learning model, and providing output data indicating the root cause of the fault. Overall, the patent focuses on utilizing machine learning models to enhance root cause analysis in wind turbine systems based on operational data and historical information.
To know more about GlobalData’s detailed insights on Vestas Wind Systems, buy the report here.
Data Insights
From
The gold standard of business intelligence.
Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.
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.
