Deerfield, IL, United States of America

Gavril A Giurgiu

USPTO Granted Patents = 1 

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Innovations by Gavril A Giurgiu

Introduction

Gavril A Giurgiu is an accomplished inventor based in Deerfield, IL (US). He has made significant contributions to the field of machine usage analysis through his innovative patent. His work focuses on enhancing the efficiency and reliability of machinery by utilizing advanced data analysis techniques.

Latest Patents

Gavril A Giurgiu holds a patent for "Systems and methods for determining machine usage severity." This patent describes a method for determining machine usage severity by collecting repair data for multiple machines over a repair time period and telematics data from sensors on the machines over an activity time period. The method includes calculating predictive features from the telematics data for each machine and creating a severity model based on these features. The severity model can be validated with the predictive features and corresponding repair data for each machine. Additionally, the method involves receiving telematics data from sensors on a deployed machine for a specific period, calculating machine predictive features, and using these features to calculate a severity score. A recommendation for maintenance is displayed when the machine usage severity score exceeds a selected threshold.

Career Highlights

Gavril A Giurgiu is currently employed at Caterpillar Inc., a leading company in the manufacturing of construction and mining equipment. His role involves leveraging his expertise in machine analytics to improve operational efficiency and reduce downtime for machinery.

Collaborations

Gavril has collaborated with notable colleagues such as Prashant M Rai and Kyle J Cline. Their combined efforts contribute to the advancement of technology in the field of machine usage analysis.

Conclusion

Gavril A Giurgiu's innovative work in determining machine usage severity showcases his commitment to improving machinery performance. His contributions are vital for enhancing operational efficiency in various industries.

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