Beijing, China

Xiaoqing Cheng

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Beijing Jiaotong University. Active years: 2017.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2017

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1 patent (USPTO):Explore Patents

Title: Innovations of Xiaoqing Cheng in Urban Rail Systems

Introduction

Xiaoqing Cheng is a prominent inventor based in Beijing, China. He has made significant contributions to the field of urban rail systems, particularly in the area of fault prediction and maintenance.

Latest Patents

Xiaoqing Cheng holds a patent for a "Fault prediction and condition-based repair method of urban rail train bogie." This invention provides a comprehensive approach to predicting faults and optimizing repairs for urban rail train bogies. The method utilizes a survival analysis-based model to determine the optimum service life distribution of various components, including the framework, spring device, and driving mechanism. By employing a neural network model optimized through an evolutionary algorithm, the failure rates of each subsystem are calculated. This innovative approach ultimately leads to the establishment of thresholds and control limits for condition-based repairs, enhancing the reliability and safety of urban rail systems.

Career Highlights

Xiaoqing Cheng is affiliated with Beijing Jiaotong University, where he contributes to research and development in transportation engineering. His work focuses on improving the efficiency and safety of urban rail systems through innovative engineering solutions.

Collaborations

Xiaoqing Cheng collaborates with notable colleagues, including Yuan Zhang and Shan Yu, who contribute to his research endeavors. Their combined expertise fosters advancements in urban rail technology.

Conclusion

Xiaoqing Cheng's innovative work in fault prediction and maintenance of urban rail train bogies exemplifies the importance of research in enhancing transportation systems. His contributions are vital for the future of urban rail safety and efficiency.

Profile summary based on public USPTO records.
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