San Diego, CA, United States of America

Paul Rahilly

This inventor holds 7 USPTO granted patents and 1 EPO patent. Top assignee: Mtelligence Corporation. Active years: 2013-2020.


% Patents Active = 100.0

 

Average Co-Inventor Count = 3.4

ph-index = 5

Forward Citations = 56(Granted Patents)


Company Filing History:


Years Active: 2013-2020

Loading Chart...
Loading Chart...
7 patents (USPTO):Explore Patents

Title: Paul Rahilly: Innovator in Machine Learning and Asset Management

Introduction

Paul Rahilly is a prominent inventor based in San Diego, CA. He has made significant contributions to the field of machine learning and asset management, holding a total of 7 patents. His work focuses on developing systems that enhance the reliability and efficiency of equipment through advanced predictive analytics.

Latest Patents

Among his latest patents is a groundbreaking method titled "Population-based learning with deep belief networks." This invention outlines a plant asset failure prediction system that utilizes user input to identify target equipment. The system processes time series waveforms from sensors associated with the equipment to generate derived inputs. It also includes a machine learning agent that discriminates between normal baseline data and failure signature information, enabling proactive monitoring of equipment health.

Another notable patent is "System and methods for automated plant asset failure detection." This system is designed for failure signature recognition training for equipment units. It analyzes sensor data in conjunction with failure information to develop learning agents capable of recognizing failure signatures, thereby improving maintenance strategies.

Career Highlights

Paul Rahilly is currently employed at Mtelligence Corporation, where he applies his expertise in machine learning to develop innovative solutions for asset management. His work has positioned him as a leader in the field, contributing to advancements that benefit various industries.

Collaborations

Throughout his career, Paul has collaborated with notable professionals, including Alexander B Bates and Scott Macnab. These partnerships have fostered a collaborative environment that enhances the development of cutting-edge technologies.

Conclusion

Paul Rahilly's contributions to machine learning and asset management demonstrate his commitment to innovation. His patents reflect a deep understanding of technology and its application in real-world scenarios. His work continues to influence the industry and pave the way for future advancements.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to [email protected]
Loading…