This inventor holds 1 USPTO granted patent. Top assignee: Soochow University. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Nan Chen: Innovator in Bearing Life Prediction Technology
Introduction
Nan Chen is a prominent inventor based in Suzhou, China. He has made significant contributions to the field of predictive maintenance, particularly in the area of bearing life prediction. His innovative approach combines advanced modeling techniques with practical applications, showcasing his expertise and dedication to improving industrial processes.
Latest Patents
Nan Chen holds a patent for a method titled "Method for predicting bearing life based on hidden Markov model and transfer learning." This invention outlines a systematic approach to predict the lifespan of rolling bearings. The method involves several key steps: acquiring the original signal of a bearing's full life, extracting a comprehensive feature set, utilizing a hidden Markov model to predict hidden states, and constructing a multilayer perceptron model for life prediction. This innovative technique addresses the challenges posed by varying operating conditions through MLP-based transfer learning.
Career Highlights
Nan Chen is affiliated with Soochow University, where he contributes to research and development in predictive maintenance technologies. His work has garnered attention for its practical implications in enhancing the reliability and efficiency of industrial machinery. With a focus on integrating advanced algorithms into real-world applications, he continues to push the boundaries of innovation in his field.
Collaborations
Nan Chen has collaborated with notable colleagues, including Jun Zhu and Changqing Shen. Their combined expertise fosters a collaborative environment that enhances research outcomes and drives innovation in predictive maintenance.
Conclusion
Nan Chen's contributions to the field of bearing life prediction exemplify the intersection of technology and practical application. His innovative methods and collaborative efforts position him as a key figure in advancing predictive maintenance solutions.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile