Erie, PA, United States of America

Bryan S Reichenbach


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 146(Granted Patents)


Company Filing History:


Years Active: 2003

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1 patent (USPTO):Explore Patents

Title: The Innovative Contributions of Bryan S. Reichenbach

Introduction

Bryan S. Reichenbach is a notable inventor based in Erie, PA, who has made significant contributions to the field of diagnostics through his innovative patent. With a focus on improving the efficiency of machine diagnostics, Reichenbach's work has the potential to enhance operational reliability across various industries.

Latest Patents

Reichenbach holds a patent for a "Method and system for sorting incident log data from a plurality of machines." This invention provides a method for sorting incident log data from multiple machines undergoing diagnostics. The process involves receiving incident log data and operational parameter data from these machines. It also includes executing incident-authentication rules to determine whether a received incident corresponds to a faulty condition. The method assigns a predetermined incident severity rating to each incident and processes them based on their severity rating. This innovative approach streamlines the diagnostic process and improves the accuracy of fault detection.

Career Highlights

Bryan S. Reichenbach is associated with General Electric Company, where he applies his expertise in diagnostics and machine learning. His work at General Electric has allowed him to contribute to advancements in technology that benefit various sectors, including manufacturing and engineering.

Collaborations

Reichenbach has collaborated with talented professionals such as Gregory John Fera and Christopher M. McQuown. These collaborations have fostered an environment of innovation and creativity, leading to the development of impactful solutions in the field of diagnostics.

Conclusion

Bryan S. Reichenbach's contributions to the field of diagnostics through his innovative patent demonstrate his commitment to enhancing machine reliability and operational efficiency. His work continues to influence advancements in technology and diagnostics.

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