PhD Tsinghua University, Control Science and Engineering, 2013
B.S. Beihang University, Electrical Engineering & Its Automation, 2006
Work Experience
12/2021 - present, Research Associate Professor, INET, Tsinghua University
05/2013 -11/2021, Research Assistant Professor, INET, Tsinghua University
Social service
Journal Reviewer
Mechanical Systems and Signal Processing
ISA Transactions
Engineering Applications of Artificial Intelligence
IEEE Transactions on Aerospace and Electronic Systems
Measurement
IEEE/ASME Transactions on Mechatronics
IEEE Transactions on Reliability
Measurement Science and Technology
Areas of Research Interests/ Research Projects
Prof. Yan抯 research interests focus on signal processing and artificial intelligence in active magnetic bearings (AMB) and complex industrial systems.
[1] Control algorithms and signal processing in AMB
-Control algorithms in AMB;
-Measurement technology in AMB;
[2] Intelligent maintenance and fault diagnosis of rotating machinery and systems
-Real time fault detection under varying rotating speeds;
-Multi-sensor fusion for fault classification;
-Open-set recognition for unknown faults;
-Graph/Hypergraph learning for fault diagnosis;
[3] Physics-informed artificial intelligence
-Physics-informed neural networks;
-Data and knowledge hybrid driven fault analysis;
Research Status
2017 - Present
Study on intelligent fault diagnosis of rotating machinery
2013 - Present
Study on control technology of AMB in HTR-PM
Honors and Awards
2020, Second Class Prize, the 9th Young Teachers' Teaching Competition of Tsinghua University (Engineering Group), Tsinghua University
2014, Chinese University Major National Science and Technology Progress Award, Ministry of Education
Selected Academic Achievement
[1] Xunshi Yan, Zhengang Shi, Zhe Sun, and Chen-an Zhang*, Multisensor Fusion on Hypergraph for Fault Diagnosis, IEEE Transactions on Industrial Informatics, vol. 20, no. 8, pp. 10008-10018, 2024. （IF: 11.7）
[2] Ziti Liu, Yang Liu*, Xunshi Yan*, Wen Liu, Shuaiqi Guo, and Chen-an Zhang, AsPINN: Adaptive Symmetry-Recomposition Physics-Informed Neural Networks, Computer Methods in Applied Mechanics and Engineering, vol. 432, p. 117405, 2024. (IF: 6.9)
[3] Xunshi Yan*, Yang Liu, and Chen-an Zhang, Multiresolution Hypergraph Neural Network for Intelligent Fault Diagnosis, IEEE Transactions on Instrumentation and Measurement, vol. 71, p. 3525910, 2022. (IF: 5.6)
[4] Xunshi Yan*, Chen-an Zhang, and Yang Liu, Multi-Branch Convolutional Neural Network with Generalized Shaft Orbit for Fault Diagnosis of Active Magnetic Bearing-Rotor System, Measurement, vol. 171, p. 108778, 2021. (IF: 5.2)
[5] Xunshi Yan*, Zhe Sun, Jingjing Zhao, Zhengang Shi, and Chen-an Zhang, Fault Diagnosis of Rotating Machinery Equipped with Multiple Sensors using Space-Time Fragments, Journal of Sound and Vibration, vol. 456, pp. 49-64, 2019.(IF: 4.3)
