Regensburg, Germany

Marc Foata

This inventor holds 1 USPTO granted patent. Top assignee: Reinhausen Gmbh. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Marc Foata. Retrieved from https://idiyas.com/inventor/marc-foata-n9kqrl7v

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

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.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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