Rui Ren

Title: Innovations of Rui Ren in Ground Fault Detection

Introduction

Rui Ren is an accomplished inventor based in Shanghai, China. He has made significant contributions to the field of electrical engineering, particularly in ground fault detection and transformer technology. With a total of two patents to his name, Ren's work showcases his innovative approach to solving complex electrical issues.

Latest Patents

Rui Ren's latest patents include a "Ground Fault Directionality Detection Method, Device and Computer Readable Storage Medium" and an "Inrush Current Detection Method, Device and Computer-Readable Storage Medium for Transformer." The ground fault directionality detection method involves sampling a portion of a current signal to create a numerical matrix. This matrix is then input into a neural network designed to detect the directionality of ground faults. The system outputs a label vector that indicates whether the current signal is an upstream or downstream fault current signal. The inrush current detection method similarly samples a current signal from a transformer, providing a numerical matrix to another neural network that determines if the current signal represents an inrush current.

Career Highlights

Rui Ren is currently employed at Schneider Electric Industries Sas, a leading company in energy management and automation solutions. His work at Schneider Electric has allowed him to apply his innovative ideas in practical applications, contributing to advancements in electrical safety and efficiency.

Collaborations

Rui Ren collaborates with talented coworkers, including Rong Li and Yu Cao, who contribute to the innovative environment at Schneider Electric. Their teamwork fosters creativity and enhances the development of cutting-edge technologies.

Conclusion

Rui Ren's contributions to ground fault detection and transformer technology highlight his role as a significant inventor in the electrical engineering field. His patents reflect a commitment to innovation and safety in electrical systems.