Chengdu, China

Zhi Yong Peng

This inventor holds 1 USPTO granted patent. Top assignee: Siemens Aktiengesellschaft. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Zhi Yong Peng. Retrieved from https://idiyas.com/inventor/zhi-yong-peng

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2024

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Zhi Yong Peng: Innovator in Product Performance Prediction

Introduction

Zhi Yong Peng is a notable inventor based in Chengdu, China. He has made significant contributions to the field of product performance prediction modeling. His innovative work focuses on enhancing the accuracy of predicting final product performance, particularly in cases of device exceptions.

Latest Patents

Zhi Yong Peng holds 1 patent for his invention titled "Product performance prediction modeling to predict final product performance in case of device exception." This patent encompasses a comprehensive method and apparatus for predicting product performance. The process involves acquiring first sample data, including device outlier data generated during manufacturing. It also includes simulating production line configurations and utilizing machine learning models to develop a product performance prediction model.

Career Highlights

Zhi Yong Peng is currently employed at Siemens Aktiengesellschaft, where he applies his expertise in product performance prediction. His work at Siemens has allowed him to contribute to advancements in manufacturing processes and product reliability.

Collaborations

Zhi Yong Peng collaborates with talented colleagues, including Jing Wang and Hu Chen. Their combined efforts enhance the innovative capabilities within their projects.

Conclusion

Zhi Yong Peng's contributions to product performance prediction modeling demonstrate his commitment to innovation in manufacturing. His work not only improves product reliability but also showcases the potential of machine learning in industrial applications.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…