Mingru Yang

Title: Innovations of Mingru Yang in Optical Fiber Sensing

Introduction

Mingru Yang is a notable inventor based in Sichuan, China. He has made significant contributions to the field of optical fiber sensing, particularly through his innovative methods that enhance the adaptability of sensing systems in complex environments. His work is characterized by a focus on improving the efficiency and effectiveness of distributed optical fiber sensing technologies.

Latest Patents

Mingru Yang holds a patent for a "1D-CNN-based distributed optical fiber sensing signal feature learning and classification method." This invention addresses the limitations of existing distributed optical fiber sensing systems, which often struggle with adaptability in changing environments. The method he developed includes several key steps: segmenting time sequences of acoustic and vibration signals, constructing a typical event signal dataset, and building a 1D-CNN model. Through iterative training, the model learns to extract distinguishable features from various types of events, ultimately leading to the identification of an optimal classifier.

Career Highlights

Mingru Yang is affiliated with the University of Electronic Science and Technology of China, where he continues to advance research in optical fiber sensing technologies. His academic background and ongoing research contribute to the development of innovative solutions in this field.

Collaborations

Mingru Yang has collaborated with notable colleagues, including Huijuan Wu and Jiping Chen. Their joint efforts in research and development have furthered advancements in optical fiber sensing methodologies.

Conclusion

Mingru Yang's contributions to the field of optical fiber sensing through his innovative patent demonstrate his commitment to enhancing technology in complex environments. His work not only addresses existing challenges but also paves the way for future advancements in the field.