Shuwen Zheng
PhD thesis title: Intelligent State Perception and Health Management of Industrial Systems
Academic Tutor: Francesco Di Maio
Academic Supervisors: Enrico Zio, Yunxia Chen and Jie Liu
Affiliate external company or research group: Beihang University
PhD cycle: 40° (see all student profiles of the same cycle > LINK)
BSc: Aircraft quality and reliability, Beihang University
MSc: Safety science and engineering, Beihang University
Beihang University, Beijing, China 2024.09-2025.09; Beihang University, Beijing, China 2027.08-2028.06
Merit Student of Beihang University
Thesis abstract
My PhD research focuses on intelligent state perception and health management for industrial systems. I investigate how data-driven models can reliably identify system states, assess degradation, and predict future health under uncertain and imperfect monitoring conditions. By integrating multi-sensor learning, uncertainty quantification, degradation and reliability modelling, I aim to support accurate diagnosis, prognosis, and informed maintenance decisions.
Personal interest in my research theme
I am interested in this topic because reliable health management is essential for the safe and efficient operation of complex industrial systems. I am particularly motivated by the gap between models developed under ideal laboratory conditions and the uncertainty of real monitoring data. I want to combine artificial intelligence with reliability engineering to develop methods that are both technically effective and trustworthy in practice.
