Toronto, Canada

Francis Emery

USPTO Granted Patents = 2 

Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: Innovations by Francis Emery in Machine Learning for Maintenance Optimization.

Introduction

Francis Emery is a notable inventor based in Toronto, Canada. He has made significant contributions to the field of industrial maintenance through his innovative patents. With a total of 2 patents, Emery focuses on leveraging machine learning to enhance maintenance processes.

Latest Patents

One of Emery's latest patents is centered around a machine learning-powered anomaly detection system for maintenance work orders. This industrial work order analysis system utilizes statistical and machine learning analytics to examine both open and closed work orders. It identifies problems and abnormalities that could adversely affect manufacturing and maintenance operations. The system employs algorithms to learn normal maintenance behaviors for various tasks and flags any abnormal behaviors that deviate from standard procedures. This analysis enables the identification of costly maintenance practices and predicts asset failures, providing enterprise-specific recommendations aimed at reducing machine downtime and optimizing maintenance processes.

Career Highlights

Emery is currently associated with Fiix Inc., where he applies his expertise in machine learning to improve maintenance strategies. His work is instrumental in advancing the efficiency of maintenance operations within the industry.

Collaborations

Emery collaborates with talented individuals such as Mohammad Esmalifalak and Akshay Iyengar, contributing to innovative solutions in the field of maintenance optimization.

Conclusion

Francis Emery's work in machine learning for maintenance optimization showcases his commitment to innovation and efficiency in industrial operations. His patents reflect a deep understanding of the challenges faced in maintenance and offer practical solutions to enhance productivity.

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