SS 22
Modern industrial systems, including aerospace equipment, intelligent manufacturing systems, energy systems, transportation platforms, and autonomous vehicles, are becoming increasingly complex, integrated, and data-intensive. Under complicated operating conditions and uncertain environments, these systems often face strong nonlinearities, multi-source disturbances, component degradations, and fault propagation behaviors, which significantly challenge system reliability, operational safety, and maintenance efficiency. Therefore, reliable fault diagnosis and safety fault-tolerant control technologies have become critical research directions for ensuring the safe and stable operation of complex engineering systems.
This special session aims to provide an international forum for researchers and engineers to present recent advances, emerging methodologies, and practical applications in the fields of fault diagnosis, health monitoring, reliability assessment, and fault-tolerant control for complex systems. Both theoretical developments and industrial applications are highly encouraged. The session particularly welcomes interdisciplinary studies integrating artificial intelligence, data-driven modeling, digital twins, physics-informed learning, uncertainty quantification, and intelligent decision-making techniques for enhancing system reliability and safety. Topics of interest include, but are not limited to:
(1) Fault diagnosis and prognosis for complex systems
(2) Intelligent fault detection and isolation
(3) Safety fault-tolerant control and resilient control systems
(4) Reliability analysis and reliability-oriented design
(5) Physics-informed machine learning for reliability engineering
(6) Remaining useful life prediction and predictive maintenance
(7) Reliability and safety of aerospace and transportation systems
(8) AI applications in reliability engineering and fault diagnosis
(9) Intelligent maintenance and decision support systems
