Burlington, CT, United States of America

Alan Luis Arvidson


Average Co-Inventor Count = 3.3

ph-index = 4

Forward Citations = 134(Granted Patents)


Company Filing History:


Years Active: 2001-2004

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5 patents (USPTO):Explore Patents

Title: Innovations of Alan Luis Arvidson

Introduction

Alan Luis Arvidson is a notable inventor based in Burlington, Connecticut. He has made significant contributions to the field of reliability data analysis and quality management systems. With a total of five patents to his name, Arvidson's work reflects a commitment to enhancing industrial automation and quality assurance processes.

Latest Patents

Arvidson's latest patents include a "Network-based method and system for analyzing and displaying reliability data." This innovative method records reliability data, obtains unreliability plots, and creates control charts for Weibull distribution parameters over time. It also includes hypothesis tests to ensure that reliability remains consistent despite process variations. Another significant patent is the "Quality management system with human-machine interface for industrial automation." This system features networked operator stations for entering critical quality data and includes an application server for running various quality management programs. The system is designed to manage the quality of monitored electrical equipment effectively.

Career Highlights

Arvidson is currently employed at General Electric Company, where he applies his expertise in developing advanced quality management systems. His work has been instrumental in improving the reliability and efficiency of industrial processes.

Collaborations

Some of his notable coworkers include Theodore Drummond Hill, III, and Mark Matthew Lech. Their collaborative efforts contribute to the innovative environment at General Electric Company.

Conclusion

Alan Luis Arvidson's contributions to the fields of reliability data analysis and quality management systems demonstrate his innovative spirit and dedication to improving industrial processes. His patents reflect a deep understanding of the complexities involved in quality assurance and automation.

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