Erlangen, Germany

Eugen Graz

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Siemens Aktiengesellschaft. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Eugen Graz. Retrieved from https://idiyas.com/inventor/eugen-graz

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2023

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Eugen Graz - Innovator in Machine Health Monitoring

Introduction

Eugen Graz is a notable inventor based in Erlangen, Germany. He has made significant contributions to the field of machine health monitoring through his innovative patent. His work focuses on utilizing advanced technology to predict machine failures, thereby enhancing operational efficiency.

Latest Patents

Eugen Graz holds a patent for an "Automated health state classifier for rotating machines based on expert knowledge." This patent describes a computer-implemented method, a data processing system, and a computer program product designed to indicate machine failures. The method involves transforming at least one input signal, based on a physical quantity of a machine part, into features that a neural network uses to predict the class and severity of potential machine failures.

Career Highlights

Eugen Graz is associated with Siemens Aktiengesellschaft, a leading global technology company. His role at Siemens allows him to apply his expertise in machine health monitoring and contribute to the development of innovative solutions in the industry.

Collaborations

Eugen has collaborated with talented coworkers, including Tobias Becker and Jonas Deichmann. Their combined efforts in research and development have further advanced the field of machine health monitoring.

Conclusion

Eugen Graz's contributions to the field of machine health monitoring through his innovative patent demonstrate his commitment to enhancing technology in industrial applications. His work continues to influence the way machine failures are predicted and managed.

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]
Loading…