• 1. Life-Cycle Reliability Control of Building Structures and Materials
  建筑结构与建材全生命周期可靠性管控


• 2. Engineering System Reliability in Extreme Environments
  极端环境工程系统可靠性与适应性


• 3. Green Low-Carbon Reliability and Energy Optimization
  绿色低碳可靠性与能效优化


• 4. Software Supply Chain Reliability and Security Resilience
  软件供应链可靠性与安全韧性


• 5. Smart City Infrastructure Resilience under Climate Change
  智慧城市基础设施气候韧性


• 6. Cybersecurity and Functional Safety of Intelligent Transportation
  智能交通网络安全与功能安全


• 7. Reliability and Life Optimization of EV Charging Infrastructure
  新能源充电设施可靠性与寿命优化


• 8. Intelligent Reliability for Low-Altitude Economy Vehicles
  低空经济装备智能可靠性工程


• 9. Cascading Risk Prevention of Industrial Cyber-Physical Systems
  工业信息物理系统级联风险防控


• 10. Generative AI Driven Reliability Analysis and Decision-Making
  生成式AI驱动的可靠性分析与决策
• 
  

11. Digital Twin Prognostics and Health Management
数字孪生与装备健康管理

12. Renewable Energy System Reliability
可再生能源系统可靠性

13. Human Factor Reliability in Industrial Systems
工业系统人因可靠性

14. Industrial IoT Real-Time Reliability Monitoring
工业物联网实时可靠性监测

15. Explainable AI for Fault Diagnosis
可解释AI与故障诊断

及其他更多主题...

•  Proposal Form Download Here
  
• - Invited sessions consist of 5-8 thematically related invited papers. Invited papers are submitted and reviewed following the same process as contributed papers, and are included in the conference proceeding.
  

•  Confirmed Special Sessions
  
• - SS1: Industrial AI-Driven Operation and Maintenance
  - SS2: Multiphysics Modeling, Uncertainty Quantification, and Intelligent Health Management for Highly Reliable Components and Systems
  - SS3: Physics-Informed Machine Learning for Prognostics and Health Management of Industrial Equipment
  - SS4: Innovation and Practice of Data-Driven Soft Computing Methods in Renewable Energy Forecasting
  - SS5: Multimodal Foundation Models for Digital Twin–Integrated Prognostics and Health Management of Complex Engineering Systems
  - SS6: Explainable AI for Prognostics and Health Management of Aerospace and Avionic Systems
  - SS7: Artificial Intelligence for Fault Diagnosis and Prognostics of Complex Engineering Systems
  - SS8: Belief Reliability Theory and Applications: Recent Advances, Methods, and Practices
  - SS9: Physics-Informed Digital Twin for Reliability Assessment of Nuclear and Renewable Energy Systems
  - SS10: Reliability, Safety, and Uncertainty Management in Aviation and New Energy Systems
  - SS11: Resilience of Oil and Natural Gas Pipeline Network Systems to Multi-Source Hazards and Cascading Failures
  - SS12: Reliability and Resilience of Renewable Energy Systems under Uncertainty
  - SS13: Intelligent Operation & Maintenance and Reliability for Ships and Marine Engineering Equipment
• - SS14: Resilience and Risk Mitigation of Industrial Cyber-Physical Systems Against Cascading Failures
• - SS15: Secondary Risks, Cascading Effects, and Resilient Decision-Making in Complex Engineering and Infrastructure Systems
• - SS16: Passive Safety System and Digital Control System Relaibity for Nuclear Power Plant
• - SS17: Advanced Statistical Methods for Reliability Engineering Research and Practice
• - SS18: Complex Systems Engineering and Equipment Safety Assurance
• - SS19: Integrated Technology of Intelligent Diagnosis, Fault Simulation & Injection, and Testability Design
• - SS20: Structural Risk Assessment, Resilience Improvement and Sustainability under Disasters
• - SS21: Design and Reliability Behavioral Modeling for RF Modules
• - SS22: Knowledge and Data Driven System State Identification and Prediction
•