Seminar series on system reliability, risk and resilience FALL WORKSHOP III

#reliability #RAMS #research #PHM #Risk #Resilience
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Wednesday 12th November 2025, h. 11:30-14:00
Location: B12 L1.0 - Milano Bovisa - Via La Masa, Politecnico di Milano

Speakers:
 Zimin Liu, Xi’an Jiaotong University, Xi’an, China
Anomaly detection of machinery under time-varying operating conditions based on state-space and neural network modeling
Hao Bai, Tongji University, Shanghai, China
Extreme rainfall induced risk mapping for metro transit systems
Xin Zhang, Sichuan University, Chengdu, China
A novel Bayesian neural network approach for nuclear Root-Mean-Square charge radii and the difference in charge radii of mirror pairs
Chuanyang Zhao, Harbin Engineering University, Harbin, China
Joint Optimization of Operation and Maintenance and Grid-Connected Power Generation for Offshore Wind Farms
 Jingxuan Qiu, Nanjing University of Aeronautics and Astronautics, Nanjing, China
Uncertainty Quantification Analysis with the Arbitrary Polynomial Chaos Method: Application in slipstream effect of propeller aircraft
 Yulang Liu, Xi'an Jiaotong University, Xi'an, China
Health prediction under limited degradation data for rocket engine bearings via conditional inference knowledge-enrichment approach
Yuxuan Tao, Southeast University, Nanjing, China
Seismic resilience of urban infrastructures.
 Shuaiqing Deng, Xi’an Jiaotong University, Xi’an, China
Sharpness-aware multidomain imbalance generalization with external adversarial learning and intrinsic balanced entropy regularization for intelligent fault diagnosis
 Wei Wang, Northwestern Polytechnical University, Xi’an, China
Uncertainty-aware RUL prediction under non-stationary conditions: A complementary Bayesian continual learning framework with dynamic calibration
 Yihu Zhu, Harbin Engineering University, Harbin, China
Coordinated Control of Nuclear Power Plants Based on Multi-Agent Reinforcement Learning
Xin Dong, Shandong University of Finance and Economics, Jinan, China
Data- and knowledge- driven human factors risk management method in maritime transportation system
 Chang Guo, Xi’an Jiaotong University, Xi’an, China
Causal explaining guided domain generalization for rotating machinery intelligent fault diagnosis
 Yunpeng Liu, Northwestern Polytechnical University, Xi’an, China
Deep sensing and intelligent prognostics in aero-engine health monitoring: from the perspective of explainable deep learning
 Shuwen Zheng, Beihang University, Beijing, China
Causal graph neural network for complex system fault diagnosis with interpretability
 Yang Yu, East China University of Science and Technology, Shanghai, China
Localization of False Data Injection Attacks in Smart Grids With Renewable Energy Integration via Spatiotemporal Network
 Liu Mingyang, Yanshan University, Qinhuangdao, China
Research on Piston Pump Life Prediction Based on the Deep Integration of Failure Mechanisms and Data-Driven Approaches
 Hao Li, Beihang University, Beijing, China
Speech Title: Research on Acoustic Emission Signal Characterization and Quantitative Evaluation Methods for Damage in Mechanical Transmission Systems
 Zongjie Li, Politecnico di Milano, Milano, Italy
Online Monitoring and Fault Early Warning Prediction Method for The Operational Status of Steam Turbine Sliding Pin Systems—Taking the Lateral Pins as an Example
 Chenyang Jiao, Politecnico di Milano, Milano, Italy
Ensemble of Simplified Graph Wavelet Neural Networks for Planetary Gearbox Fault Diagnosis
 Alice Andolfi, Politecnico di Milano, Milano, Italy
Tackling the Challenge of Long Multivariate Time Series Generation in Nuclear and Energy Systems
 Weiwei Tang, Politecnico di Milano, Milano, Italy
Surrogate Model–Based Reliability Analysis of Energy Structures
 Wenxin Jiang, Politecnico di Milano, Milano, Italy
Sparsity-Guided Iterative Filtering Method for Incipient Fault Extraction
 Yuantao Yao, Institute of Nuclear Energy Safety Technology, CAS, Hefei, China
Recent Advances in AI-Driven Predictive Maintenance for Nuclear Reactor Systems
Francesca Gamba, Politecnico di Milano, Milan, Italy
A Bayesian Active Learning Framework for Efficient Exploration of Expensive Computational Design Spaces
 D’Alessandro Riccardo, Politecnico di Milano, Italy
Reliability Estimation of Passive Safety Systems in SMRs using DynamicBayesian Network Modeling
 Giulia Steiner, Politecnico di Milano, Milan, Italy
Development of an ANN model to predict reactor core parameters



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  • Milano, Lombardia
  • Italy

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  • Starts 05 November 2025 11:00 PM UTC
  • Ends 10 November 2025 11:00 PM UTC
  • No Admission Charge