Hongbo Que

Title: Innovations of Hongbo Que in Bearing Fault Diagnosis

Introduction

Hongbo Que 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

Hongbo Que holds a patent for an "Adaptive manifold probability distribution-based bearing fault diagnosis method." This invention provides a comprehensive method for diagnosing bearing faults by constructing transferable domains and transfer tasks. The process involves converting data samples into frequency domain data using Fourier transform, which is then input into a GFK algorithm model. The model calculates a manifold feature representation matrix related to bearing faults, allowing for accurate diagnosis. By calculating the cosine distance between target and source domains, the method defines a target function for classifier learning, ultimately predicting labels for data samples in the target domain.

Career Highlights

Hongbo Que is affiliated with Soochow University, where he continues to engage in research and development. His work emphasizes the integration of theoretical knowledge with practical applications, contributing to advancements in engineering and technology. His innovative methods have the potential to enhance the reliability and efficiency of machinery.

Collaborations

Hongbo Que has collaborated with notable colleagues, including Changqing Shen and Yu Xia. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and expertise, further driving innovation in their respective fields.

Conclusion

Hongbo Que's contributions to bearing fault diagnosis exemplify the impact of innovative thinking in engineering. His patent and collaborative efforts highlight the importance of research and development in advancing technology. Through his work, he continues to inspire future innovations in the field.