Yuwei Lu

Title: Yuwei Lu: Innovator in Product Quality Assessment

Introduction

Yuwei Lu is a prominent inventor based in Beijing, China. He has made significant contributions to the field of product quality assessment through his innovative methods and systems. With a total of 2 patents, Lu's work focuses on utilizing convolutional neural networks to enhance quality control processes.

Latest Patents

Yuwei Lu's latest patents include a "Method for determining number of product quality incidents based on convolutional neural network." This method involves building an appearance quality dataset, creating a quality evaluation model, and analyzing product quality incidents. The process includes training and validating models to filter and obtain a quality evaluation model based on performance coefficients. The final output is a determination of the number of product quality incidents based on an incident occurrence coefficient.

Another notable patent is the "Classification method for product quality accidents and its system based on convolutional neural networks." This invention addresses quality control technology by collecting sample data of product quality accidents and grading their severity. It involves extracting image feature elements and generating a classification model to improve the objectivity and consistency of quality accident assessments.

Career Highlights

Yuwei Lu is currently employed at the China National Institute of Standardization. His work at this institution has allowed him to focus on advancing quality control technologies and methodologies. His innovative approaches have garnered attention in the field, contributing to improved standards in product quality assessment.

Collaborations

Yuwei Lu collaborates with several talented individuals, including Jingna Yang and Jingxing Liao. These collaborations enhance the research and development of innovative solutions in product quality assessment.

Conclusion

Yuwei Lu's contributions to the field of product quality assessment through his patents and innovative methods demonstrate his commitment to improving quality control processes. His work continues to influence the industry and set new standards for product evaluation.