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please choose Special Session: Non-contact Monitoring and Diagnostic Technology for Rotating Blades
Ouyang Hua, Shanghai Jiao Tong University, China
Prof. Ouyang Hua received his Ph.D. from Shanghai Jiao Tong University in 2003. Currently, Prof. Ouyang is the Principal Research Professor at the School of Mechanical Engineering, Shanghai Jiao Tong University, and leads the Engineering Research Center of Gas Turbine and Civil Aero Engine. His research interest includes unstable flow and aeroacoustics in aero-engines, experiments and simulations of fan/compressor internal flow, and airworthiness of civil engines.
Baijie Qiao, Xi’an Jiaotong University, China
Baijie Qiao received the B.S., M.S., and Ph.D. degrees from Xi’an Jiaotong University, Xi’an, China, in 2010, 2012, and 2017, respectively, all in mechanical engineering. He is currently Professor of the School of Mechanical Engineering, Xi’an Jiaotong University. He has authored over 100 papers. Prof.Qiao is the IEEE senior member and ASME member. His research interests include inverse problems in engineering, source identification, aero-engine health monitoring.
Bi Wen, Taihang Lab., China
Bi Wen received the B.S. and M.S. degrees from Southwest Jiaotong University, Chengdu, China, in 2005 and 2009, respectively, both in measurement and control technology and instrumentation. He is currently pursuing the Ph.D. degree in mechanical engineering with the Department of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China. He is a Senior Engineer of Taihang Lab. His research interests include aero-engine noise test and fault diagnosis.
Zhicheng Xiao, Shanghai Jiao Tong University, China
Zhicheng Xiao received his Bachelor’s and Ph.D. degrees from Shanghai Jiao Tong University in 2018 and 2023. He is a post-doctoral researcher at present. His main research focus is blade tip timing measurement technology and aeroelastics in turbomachinery. He has published papers in MSSP、Commun. Nonlinear Sci., Int. J. Heat Mass Tran., etc. His research has been applied in multiple industrial applications.
For modern turbomachinery, high demand for performance has posed serious challenges to structural integrity due to unexpected blade vibrations. Accurate measurement of in-situ blade deformation could provide valuable data for researchers and engineers to study the underlying physics. However, measurement of high-speed rotating blades inside the casing is challenging and has become a research hot spot. In the recent decade, non-contact measurement technologies represented by blade tip timing (BTT), laser Doppler vibrometry (LDV), and digital image correlation (DIC) are developing rapidly. Meanwhile, models and algorithms for analyzing blade vibrations, as well as diagnostic methods for blade failure are emerging every day. However, challenges remain in terms of feasibility, reliability, and integrating these technologies into existing systems. Thus, there is a pressing need to bring together experts, researchers, and practitioners to share insights, breakthroughs, and best practices in this evolving field. We hope to foster interdisciplinary collaboration, bridging gaps between theoretical research and practical applications, and to pave the way for innovative solutions that enhance the safety of machinery relying on rotating blades.
The scope of the special session will focus on the following topics:
* Advancements in non-contact monitoring and diagnostic methods for blades
* Integration of machine learning and AI for data analysis and predictive maintenance.
* Case studies on the application of non-contact blade monitoring technologies in various industries, especially evaluating the impact of operational environments on measurements.
* Future directions and research opportunities in blade tip timing and other non-contact monitoring systems.
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