Saratoga Springs, NY, United States of America

Dean Kimball Frederick


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 11(Granted Patents)


Company Filing History:


Years Active: 2011

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1 patent (USPTO):Explore Patents

Title: Innovations of Dean Kimball Frederick

Introduction

Dean Kimball Frederick is an accomplished inventor based in Saratoga Springs, NY. He has made significant contributions to the field of machine fault accommodation through his innovative methods and systems. His work is particularly relevant in enhancing the reliability and performance of machines in various operational scenarios.

Latest Patents

Dean Kimball Frederick holds a patent for a "Method and system for fault accommodation of machines." This patent discloses a method for multi-objective fault accommodation using predictive modeling. The method involves using a simulated machine that mimics a faulted actual machine, along with a simulated controller that represents an actual controller. A multi-objective optimization process is performed based on specified control settings and operational scenarios to generate a Pareto frontier-based solution space. This solution space relates the performance of the simulated machine to the settings of the simulated controller, allowing for adjustments to operational scenarios to represent fault conditions. The ultimate goal is to maximize desirable operational conditions while minimizing undesirable ones.

Career Highlights

Dean Kimball Frederick is associated with General Electric Company, where he applies his expertise in machine fault accommodation. His innovative approach has contributed to advancements in predictive modeling and optimization processes within the company.

Collaborations

Some of his notable coworkers include Kai F Goebel and Rajesh Venkat Subbu, who have collaborated with him on various projects related to machine performance and fault accommodation.

Conclusion

Dean Kimball Frederick's contributions to the field of machine fault accommodation through his innovative patent demonstrate his commitment to enhancing machine reliability and performance. His work continues to influence advancements in predictive modeling and optimization in the industry.

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