Prof. HongYuan Qi | Failure Analysis and Damage Mechanics | Best Researcher Award
School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University – China
Professional Profiles:
๐ ๏ธ Professor Hongyuan Qi: A Pioneer in Mechanical Engineering and Acoustic Emission Technology ๐
Early Academic Pursuits ๐
Hongyuan Qi’s academic journey began at the Northeast Heavy Machinery Institute, where he earned his Bachelor’s degree in Machinery Manufacturing Equipment and Technology in 1989. His passion for engineering led him to pursue a Master’s degree in Metallurgical Machinery at the same institution, completing it in 1995. Qi’s dedication to academic excellence continued at Yanshan University, where he received his PhD in Mechanical Design and Theory in 2000. These foundational years equipped him with the knowledge and skills that would later define his illustrious career.
Professional Endeavors ๐ผ
Following his PhD, Qi undertook postdoctoral research at Beijing Jiaotong University from March 2000 to May 2002. This period marked the beginning of a long and fruitful association with the institution. In June 2002, he joined the Department of Measurement and Control as an Associate Professor in the School of Mechanical, Electronic, and Control Engineering. Over two decades, he significantly contributed to the department’s research and academic reputation, earning a promotion to Professor in January 2023.
Before his tenure at Beijing Jiaotong University, Qi gained valuable industry experience as an Engineer at Tianjin Heavy Machinery Plant Institute from August 1989 to August 1992. This role provided practical insights that complemented his academic expertise, fostering a well-rounded approach to engineering challenges.
Research and Innovations ๐งช
Professor Qi’s research primarily focuses on the health monitoring and intelligent operation of high-speed train components. His innovative work in prognostics and health management technology for rail transit equipment has led to significant advancements. Notable projects include the health monitoring of EMU gearboxes based on acoustic emission technology (Project Number M19L01500), completed in October 2023, and the component fatigue crack detection technology based on acoustic emission (Project Number M13L00420), completed in October 2015.
Currently, Qi is leading research on crack detection technology of axle brake bands (Project Number M16L00480) and analyzing techniques for next-generation weapon systems (Project Number M20GY1400010). These projects showcase his continuous commitment to advancing safety and efficiency in mechanical systems.
Accolades and Recognition ๐
Qi’s contributions have been widely recognized through various publications and awards. He has authored and co-authored numerous research papers in prestigious journals, including “Structural Health Monitoring-An International Journal” and “Mathematics and Mechanics of Solids.” His work on a novel acoustic emission sensor for monitoring high-speed train bearings highlights his innovative approach to engineering challenges.
His educational contributions are equally significant, with notable publications such as “Fundament of Control Theory” and “MATLAB Language and Practice Tutorial.” These books have become essential resources for engineering students and professionals alike.
Impact and Influence ๐
Professor Qi’s research has a profound impact on both academia and industry. His work on acoustic emission technology not only advances academic knowledge but also offers practical solutions for real-world applications. His research has directly contributed to the safety and reliability of rail transit systems, making a tangible difference in the field.
With a total citation count of 107, Qi’s influence extends across the academic community, reflecting the relevance and significance of his work. His dedication to mentoring students and leading innovative research projects continues to inspire future generations of engineers.
Legacy and Future Contributions ๐
Looking ahead, Professor Qi’s legacy will undoubtedly continue to shape the future of mechanical engineering. His pioneering research and practical applications set a high standard for excellence in the field. As he continues to explore new frontiers in health monitoring and intelligent systems, his contributions will leave an enduring mark on mechanical engineering and beyond.
Professor Hongyuan Qi’s journey from a dedicated student to a respected professor and researcher exemplifies his unwavering commitment to mechanical engineering. His work not only advances knowledge but also provides practical solutions that enhance the safety and efficiency of mechanical systems, ensuring a lasting legacy in the field.
Publication Top Noted:
Paper Title: Ensefgram: An optimal demodulation band selection method for the early fault diagnosis of high-speed train bearings
- Authors: Wang, C., Qi, H., Hou, D., Han, D., Yang, J.
- Journal: Mechanical Systems and Signal Processing
- Volume: 213
- Pages: 111346
- Year: 2024
Paper Title: A novel acoustic emission sensor design and modeling method for monitoring the status of high-speed train bearings
- Authors: Qi, H., Han, D., Hou, D., Wang, C.
- Journal: Structural Health Monitoring
- Volume: 22
- Pages: 3761-3784
- Year: 2023
Paper Title: Fingerprint feature and dynamic threshold mechanism based on acoustic emission for bearing fault detection
- Authors: Wang, C., Qi, H., Hou, D., Han, D., Yang, J.
- Journal: Mechanical Systems and Signal Processing
- Volume: 199
- Pages: 110496
- Year: 2023
Paper Title: High-speed train wheel set bearing fault diagnosis and prognostics: evaluation of signal processing methods under multi-source interference
- Authors: Hou, D., Qi, H., Wang, C., Luo, H., Han, D.
- Journal: Structural Health Monitoring
- Volume: 22
- Pages: 2280-2304
- Year: 2023
Paper Title: High-speed train wheel set bearing fault diagnosis and prognostics: Research on acoustic emission detection mechanism
- Authors: Hou, D., Qi, H., Li, D., Luo, H., Peng, C.
- Journal: Mechanical Systems and Signal Processing
- Volume: 179
- Pages: 109325
- Year: 2022