Moraga, CA, United States of America

Michael Kennedy

This inventor holds 1 USPTO granted patent. Top assignee: Ge Inspection Technologies, Gmbh. Active years: 2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Michael Kennedy. Retrieved from https://idiyas.com/inventor/michael-kennedy-i1li2pq1

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


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Michael Kennedy: Innovator in Anomaly Detection Technology

Introduction

Michael Kennedy is a notable inventor based in Moraga, CA (US). He has made significant contributions to the field of anomaly detection, particularly in the context of oil and gas industrial machines. His innovative approach has led to the development of a patented method that enhances the monitoring and analysis of machine performance.

Latest Patents

Kennedy holds a patent for a method of anomaly detection. This method involves receiving time-dependent data from a sensor connected to an oil and gas industrial machine. The process includes determining an anomaly score based on operating characteristics over a specified time period. The first value of the operating characteristic is derived from the time-dependent data, while the second value is detected directly from the machine. The results are then visually represented in a graphical user interface, providing users with critical insights into machine performance. He has 1 patent related to this innovative technology.

Career Highlights

Michael Kennedy is associated with Ge Inspection Technologies GmbH, where he applies his expertise in developing advanced technologies for industrial applications. His work focuses on improving the reliability and efficiency of oil and gas machinery through innovative detection methods.

Collaborations

Kennedy collaborates with talented professionals in his field, including Arun Karthi Subramaniyan and Haiming Zhao. Their combined efforts contribute to the advancement of technology in anomaly detection and industrial monitoring.

Conclusion

Michael Kennedy's contributions to anomaly detection technology exemplify the impact of innovation in industrial applications. His work not only enhances machine performance but also sets a standard for future developments in the field.

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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