This inventor holds 1 USPTO granted patent. Top assignee: Reinhausen Gmbh. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Marc Foata: Inventor of a Machine-Learning-Based Equipment Assessment Method
Introduction
Marc Foata is an inventor associated with Regensburg, Germany, and Reinhausen GmbH. His patent work addresses the assessment of electrical equipment used in power-supply systems.
Latest Patents
Foata is credited with 1 patent, titled “State Based Operation of Electrical Equipment.” The invention describes a method for assessing electrical equipment that has a housing containing insulating fluid. It records measurements representing dissolved gases in the fluid, determines equipment parameters, and uses those parameters to adapt the measurements to a uniform evaluation basis. A machine-learning method then assesses the equipment’s state from the adapted measurements, and the resulting state is output.
Career Highlights
Foata’s listed patent reflects an application of machine learning to electrical-equipment monitoring. By accounting for equipment parameters when interpreting dissolved-gas measurements, the method aims to provide a consistent basis for evaluating equipment condition.
Collaborations
Foata’s listed coworkers include Rainer Frotscher and Alexander Alber. His patent is associated with Reinhausen GmbH.
Conclusion
Marc Foata’s patent combines equipment-specific measurement adjustment with machine-learning-based assessment to determine the state of electrical equipment in power-supply systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile