Zefeng Wen

Title: Innovations of Zefeng Wen in Rail Corrugation Recognition and Structural Health Monitoring

Introduction

Zefeng Wen is a notable inventor based in Chengdu, China. He has made significant contributions to the fields of rail corrugation recognition and structural health monitoring. With a total of two patents to his name, his work showcases innovative methods that enhance the quality and efficiency of data analysis in these areas.

Latest Patents

Zefeng Wen's latest patents include a "Rail corrugation recognition method and apparatus based on support vector machine" and an "Adaptive method of cleaning structural health monitoring data based on local outlier factor." The rail corrugation recognition method involves obtaining wheel-rail noise signals, preprocessing them, and constructing a recognition model using support vector machines. This method aims to accurately identify the state of rail corrugation, which is crucial for maintaining railway safety and efficiency. The adaptive method for cleaning SHM data utilizes an innovative approach to detect anomalies by calculating an outlier degree based on local outlier factors, thereby improving data quality effectively.

Career Highlights

Zefeng Wen is affiliated with Southwest Jiaotong University, where he contributes to research and development in engineering and technology. His work is instrumental in advancing methodologies that address critical challenges in rail transport and structural integrity monitoring.

Collaborations

Zefeng Wen collaborates with esteemed colleagues such as Xiaolong Liu and Xinbiao Xiao. Their combined expertise fosters an environment of innovation and research excellence.

Conclusion

Zefeng Wen's contributions to rail corrugation recognition and structural health monitoring exemplify the impact of innovative thinking in engineering. His patents reflect a commitment to enhancing safety and efficiency in transportation systems.