Professor | Nantong Institute of Technology | China
Mr. Shunming Li is a senior researcher at Nantong University, China, specializing in intelligent fault diagnosis, vibration signal processing, rolling bearing health monitoring, and data-driven prognostics. He has published 323 peer-reviewed articles, 4,570 citations with an h-index of 34, demonstrating sustained scholarly impact. His research integrates deep learning, transfer learning, digital twins, and advanced signal denoising methods to address complex machinery health monitoring challenges under multi-operating and data-limited conditions. Dr. Li has developed interpretable and domain-adaptive diagnostic models that enhance fault detection accuracy and remaining useful life prediction. He maintains extensive national and international collaborations, having worked with over 250 co-authors across engineering disciplines. His contributions support safer, more reliable industrial systems and promote predictive maintenance strategies, delivering significant societal and economic benefits for smart manufacturing and infrastructure health management.
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