Xiaoyu Sun

Title: Innovations of Xiaoyu Sun in Aero-Engine Performance Prediction

Introduction

Xiaoyu Sun is an accomplished inventor based in Dalian, China. She has made significant contributions to the field of aero-engine performance prediction through her innovative methods. Her work focuses on enhancing the efficiency and accuracy of predicting key performance parameters in aero-engine transition states.

Latest Patents

Xiaoyu Sun holds a patent titled "Method for prediction of key performance parameter of an aero-engine transition state acceleration process based on space reconstruction." This patent describes a method that utilizes aero-engine transition state acceleration process test data provided by a research institute to establish training and testing datasets. The method involves dimension increase through data space reconstruction using an auto-encoder. Additionally, model parameters are optimized using population optimization algorithms, specifically the particle swarm algorithm. The random forest regression algorithm is employed to perform regression on transition state performance parameters, enabling effective real-time predictions from an engineering application perspective.

Career Highlights

Xiaoyu Sun is affiliated with Dalian University of Technology, where she contributes to research and development in the field of aero-engine technology. Her innovative approach has garnered attention and recognition within the academic and engineering communities.

Collaborations

Xiaoyu has collaborated with notable colleagues, including Shuo Zhang and Jibang Li, who share her commitment to advancing research in aero-engine performance.

Conclusion

Xiaoyu Sun's innovative methods in predicting aero-engine performance parameters demonstrate her expertise and dedication to engineering advancements. Her contributions are paving the way for more efficient and accurate predictions in the aerospace industry.