Casselberry, FL, United States of America

Stefan Herzog, Jr

This inventor holds 2 USPTO granted patents. Top assignee: Lockheed Martin Corporation. Active years: 2012-2016.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Stefan Herzog, Jr. Retrieved from https://idiyas.com/inventor/stefan-herzog-jr

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

Calculating rank

% Patents Active = 50.0

Average Co-Inventor Count = 6.5

ph-index = 1

Forward Citations = 9(Granted Patents)


Company Filing History:


Years Active: 2012-2016

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2 patents (USPTO):Explore Patents

Title: Innovations of Stefan Herzog, Jr.

Introduction

Stefan Herzog, Jr. is an accomplished inventor based in Casselberry, FL (US). He has made significant contributions to the field of technology, particularly in the area of neural networks and condition-based monitoring systems. With a total of 2 patents, his work showcases innovative approaches to analyzing and quantifying machine conditions.

Latest Patents

One of his latest patents is titled "Quantifying a condition with a neural network." This invention discloses a method for quantifying the condition of a selected item using a neural network. The device defines a good hypertube in a neural state space based on good item state points obtained from items exhibiting desired operating characteristics. Conversely, it also defines a bad hypertube based on bad item state points from items with undesirable characteristics. The current item state hyperpoint is determined in the neural state space, allowing for the quantification of the selected item's condition based on its location relative to the good and bad hypertubes.

Another notable patent is the "Condition-based monitoring system for machinery and associated methods." This invention performs real-time condition-based analysis on machinery to provide diagnostic and prognostic outputs indicative of machine status. It includes a signal processor that receives signals from sensors measuring machine performance parameters. The processor conditions these signals for input into a fuzzy adaptive resonance theory neural network, which detects and classifies the machine's state. The neural network can also determine the health status of the machine, identifying anomalies and outputting a signal representative of its health status.

Career Highlights

Stefan Herzog, Jr. is currently employed at Lockheed Martin Corporation, where he applies his expertise in technology and innovation. His work at this prestigious company allows him to contribute to advanced projects that have a significant impact on the industry.

Collaborations

Throughout his career, Stefan has collaborated with notable colleagues, including Richard M Hall and Eric W Worden. These collaborations have further enriched his work and contributed to the development of innovative solutions in his field.

Conclusion

Stefan Herzog, Jr. is a prominent inventor whose work in neural networks and condition-based monitoring systems has led to valuable patents. His contributions at Lockheed Martin Corporation and collaborations with esteemed colleagues highlight his commitment to innovation and excellence in technology.

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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