Lin Kong

Title: Innovations by Lin Kong in Bearing Fault Diagnosis

Introduction

Lin Kong is a notable inventor based in Suzhou, China. He has made significant contributions to the field of engineering, particularly in the area of bearing fault diagnosis. His innovative approach combines advanced algorithms with practical applications, showcasing his expertise and dedication to improving technology.

Latest Patents

Lin Kong holds a patent for an "Adaptive manifold probability distribution-based bearing fault diagnosis method." This invention provides a systematic approach to diagnosing bearing faults by constructing transferable domains and transfer tasks. The method involves converting data samples into frequency domain data using Fourier transform and employing a GFK algorithm model to calculate a manifold feature representation matrix. By determining the cosine distance between target and source domains, the method effectively predicts labels for data samples in the target domain.

Career Highlights

Lin Kong is affiliated with Soochow University, where he continues to engage in research and development. His work has garnered attention for its innovative methodologies and practical applications in fault diagnosis. With a focus on enhancing the reliability of engineering systems, Lin's contributions are paving the way for advancements in the field.

Collaborations

Lin has collaborated with esteemed colleagues, including Changqing Shen and Yu Xia. Their combined expertise has fostered a productive research environment, leading to significant advancements in their respective fields.

Conclusion

Lin Kong's innovative work in bearing fault diagnosis exemplifies the impact of research and development in engineering. His contributions not only advance technology but also enhance the reliability of engineering systems.