Reston, VA, United States of America

Charles T Butler


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 51(Granted Patents)


Company Filing History:


Years Active: 1993

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1 patent (USPTO):Explore Patents

Title: The Innovative Contributions of Charles T. Butler

Introduction

Charles T. Butler, an insightful inventor based in Reston, VA, has made significant strides in the realm of combustion control systems. With a keen focus on integrating advanced technologies, Butler's innovations provide efficient solutions to complex problems in the industry.

Latest Patents

Butler holds a notable patent for an "Integrated Imaging Sensor/Neural Network Controller for Combustion." This patent details an advanced controller that utilizes electronic imaging sensing of chemiluminescence in combustion systems, enhanced by neural network image processing. This unique combination allows for sensitive identification and control of intricate combustion systems, ensuring that the effects of normal emissions variation due to burner load and flame position do not adversely affect performance. The invention enables the quick and efficient monitoring of emissions patterns and utilizes image technology for real-time, closed-loop control, optimizing the operational conditions of combustors based on pre-determined models.

Career Highlights

Charles T. Butler is currently associated with the Electric Power Research Institute, Incorporated, a prominent organization dedicated to advancing power generation technologies. His role involves utilizing his patent and expertise to explore innovative methods that enhance combustion efficiency and control in power generation.

Collaborations

Throughout his career, Butler has collaborated with esteemed colleagues, including Mark G. Allen and Stephen A. Johnson. Their joint efforts reflect a commitment to pushing the boundaries of technology in the field, particularly within combustion research and development.

Conclusion

Charles T. Butler's innovative work in combustion control systems through the integration of imaging sensors and neural networks establishes him as a pivotal figure in technological advancements. His contributions not only address existing challenges in the industry but also pave the way for future innovations in efficient energy use and emission control.

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