SS 14
Industrial Cyber-Physical Systems (ICPS) are increasingly deployed in smart manufacturing, energy, railway transportation, process industries, marine engineering, and other critical infrastructures. Due to tight coupling, cross-domain interaction, and multi-layer coordination, disturbances, faults, cyber attacks, and human errors can propagate across sensing, communication, control, computation, and physical layers, causing cascading failures with serious safety, operational, and economic consequences. This special session focuses on resilience modeling, risk assessment, and mitigation of ICPS under cascading failure scenarios. It emphasizes FMEA, FMECA, and ETA, together with data-driven modeling, intelligent monitoring, digital twins, complex network analysis, and system safety engineering, to support research on failure prevention, hazard identification, propagation analysis, resilience enhancement, and recovery optimization.
Main topics are (but not limited to):
Failure mode identification and multi-level FMEA for industrial cyber-physical systems
Cross-layer failure modeling of sensors, actuators, controllers, and communication links
Extended FMEA/FMECA for cyber attacks, hardware/software faults, and human errors
FMECA-based assessment of failure severity, occurrence, detectability, and criticality
Weak-point identification, hazard ranking, and risk prioritization for cascading failures
ETA-based analysis of disturbance triggering, failure propagation, and consequence escalation
Dynamic event tree analysis considering protection mechanisms, redundancy, emergency intervention, and uncertainty
Integrated modeling and closed-loop risk management frameworks combining FMEA, FMECA, and ETA
Real-time risk assessment and early warning using digital twins, online monitoring, and data-driven methods
Fault-tolerant control, fault isolation, recovery optimization, and representative industrial applications for resilience enhancement
随着工业信息物理系统（Industrial Cyber-Physical Systems, ICPS）在智能制造、能源电力、轨道交通、流程工业、海洋工程与关键基础设施中的广泛部署，系统运行呈现出高度耦合、强交互和多层级协同等特征。网络层、控制层、感知层与物理过程之间的深度耦合，使局部扰动、设备失效、软件异常、通信中断或人为误操作更容易沿系统结构与功能链条扩散并演化为级联失效，进而导致安全事故、服务中断、性能退化和重大经济损失。
本专题聚焦工业信息物理系统在级联失效场景下的韧性建模、风险识别与防控方法，重点围绕失效模式与影响分析；失效模式、影响及危害性分析和事件树分析等经典可靠性与风险分析方法，探讨其与数据驱动建模、智能监测、数字孪生、复杂网络分析及系统安全工程的融合机制。专题旨在为工业信息物理系统从“失效预防—风险评估—传播分析—韧性增强—恢复优化”的全链条研究提供交流平台，推动形成兼具理论深度、工程适用性和可解释性的级联失效分析与风险缓释方法体系。
细分专题主题（包括但不限于）：
工业信息物理系统失效模式识别与多层级失效模式与影响分析
传感器、执行器、控制器及通信链路的跨层失效建模
面向网络攻击、软硬件故障与人因失误的扩展失效模式、影响及危害性分析方法
基于失效模式、影响及危害性分析的失效严重度、发生概率、可探测性与关键性评估
面向级联失效的关键薄弱环节识别、危害排序与风险优先级分析
基于事件树分析的扰动触发、失效传播与后果升级过程分析
考虑保护机制、冗余设计、应急干预与不确定性的动态事件树分析
失效模式、影响及危害性分析与事件树分析的集成建模方法与闭环风险管理框架
融合数字孪生、在线监测与数据驱动技术的实时风险评估与预警
面向系统韧性提升的容错控制、故障隔离、恢复优化与典型工业应用
