Company Filing History:
Years Active: 2020
Title: Ronald Burton Wight: Innovating Usage-Based Lifing Technology
Introduction:
Ronald Burton Wight, a resident of Lisbon Falls, ME, has made noteworthy contributions in the field of usage-based lifing. With a deep understanding of gas turbine engines in aerial vehicles, Wight has developed an innovative method for predicting low cycle fatigue consumption based on historical flight data. Currently employed at General Electric Corporation, Wight's expertise and patents have significantly advanced the field. In this article, we will delve into Wight's latest patents, career highlights, collaborations, and his notable contributions to usage-based lifing technology.
Latest Patents:
Wight has been granted a patent titled "Usage-based lifing - Systems and methods for predicting usage-based lifing and low cycle fatigue consumption." This patent introduces a novel approach where historical flight data associated with gas turbine engines in an aerial vehicle is utilized to predict low cycle fatigue consumption. By employing machine learning techniques, Wight has developed a model that correlates flight data and low cycle fatigue consumption. This innovation is invaluable for improving maintenance schedules and enhancing the performance and durability of gas turbine engines in the aviation industry.
Career Highlights:
As an employee of General Electric Corporation, Wight has demonstrated exceptional expertise in the field of gas turbine engines and usage-based lifing technology. His unique insights and contributions have propelled the company's advancements in this critical area. Wight's dedication to improving the reliability and lifespan of modern aircraft engines has earned him recognition among his peers and stakeholders in the aviation industry.
Collaborations:
Wight's work is not done in isolation. Collaborating with like-minded individuals has been vital to his success. Notably, he has worked closely with Craig Wesley Stevens and Simon Shu Kong Chan, who have also contributed significantly to the field. These collaborations have fostered an environment of collective creativity, enabling the emergence of groundbreaking technologies in usage-based lifing.
Conclusion:
Ronald Burton Wight's groundbreaking patent in usage-based lifing technology showcases his expertise and dedication to improving the aviation industry. By harnessing historical flight data and employing machine learning techniques, Wight's innovation allows for better prediction and management of low cycle fatigue consumption in gas turbine engines. With his career at General Electric Corporation and collaborative efforts alongside esteemed colleagues, Wight continues to push the boundaries of what is possible in the realm of usage-based lifing. His contributions stand as a testament to the power of innovation and its ability to transform industries for the better.