Baltimore, MD, United States of America

Steven Gillmeister


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Steven Gillmeister

Introduction

Steven Gillmeister is a notable inventor based in Baltimore, MD (US). He has made significant contributions to the field of machine learning and predictive maintenance. His innovative approach has led to the development of a unique patent that addresses critical issues in vacuum pump maintenance.

Latest Patents

Gillmeister holds a patent for a "Real time machine learning based predictive and preventive maintenance of vacuum pump." This invention encompasses a method and system utilizing machine learning architecture for the predictive and preventive maintenance of vacuum pumps. The method involves receiving motor and blower sensor data over a communications network. The motor sensor data is classified into vacuum state and break state categories. The vacuum state data is analyzed to detect operating vacuum levels, raising alarms when these levels exceed predefined safety ranges. Additionally, the break data is classified into clean and clogged filter categories, triggering alarms for clogged filters. The blower sensor data, in conjunction with motor sensor data, is analyzed to identify deficient oil levels and structures.

Career Highlights

Gillmeister is currently employed at Machinesense, LLC, where he applies his expertise in machine learning to enhance the reliability and efficiency of vacuum pumps. His work is pivotal in advancing predictive maintenance technologies, which are essential for various industrial applications.

Collaborations

He collaborates with talented professionals such as Biplab Pal and Amit Purohit, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Steven Gillmeister's contributions to machine learning and predictive maintenance exemplify the impact of innovative thinking in technology. His patent reflects a commitment to improving industrial processes and ensuring operational safety.

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