Weifei Hu

Title: Weifei Hu: Innovator in Wind Turbine Technology

Introduction

Weifei Hu is a notable inventor based in Hangzhou, China. He has made significant contributions to the field of wind turbine technology, particularly in the area of fault diagnosis. His innovative approach utilizes advanced neural network techniques to enhance the reliability and efficiency of wind turbine operations.

Latest Patents

Weifei Hu holds a patent for a "Method and device for fault diagnosis of wind turbine pitch bearing based on neural network." This invention involves a comprehensive method that includes measuring signal strength at various sensor points and rolling angles. The process determines the optimal measurement rolling angle for the blade and sensor arrangement. By blocking the blade at this optimal angle, pitch vibration data can be collected and processed into a dataset. A neural network model is then constructed and trained using this dataset, which is deployed to a programmable logic controller (PLC) for real-time monitoring of the wind turbine's health status. This innovative device comprises vibration acceleration sensors, a vibration data acquisition card, and a PLC, enabling fast, real-time, and accurate monitoring of pitch bearing health.

Career Highlights

Weifei Hu is affiliated with Zhejiang University, where he continues to advance research in renewable energy technologies. His work has garnered attention for its practical applications in improving the operational efficiency of wind turbines.

Collaborations

He has collaborated with notable colleagues, including Feng Tang and Yaxuan Zhang, contributing to the advancement of technology in their field.

Conclusion

Weifei Hu's innovative contributions to wind turbine technology exemplify the potential of neural networks in enhancing renewable energy systems. His work not only addresses critical challenges in fault diagnosis but also paves the way for more efficient and reliable wind energy solutions.