SS 13
The maritime industry is undergoing a profound transformation driven by digitalization, autonomy, and the growing complexity of ship systems and offshore engineering equipment. Vessels and marine structures—including merchant ships, offshore platforms, subsea pipelines, deep-sea mining systems, dredging vessels, and specialized engineering vessels—operate under harsh and dynamic environmental conditions, making their safe and reliable operation both critically important and technically challenging. Unplanned failures or degraded performance not only lead to significant economic losses but also pose severe safety and environmental risks.
In recent years, the rapid advancement of artificial intelligence, industrial Internet of Things (IIoT), digital twin technology, and big data analytics has opened new frontiers for intelligent operation and maintenance (O&M) of marine assets. Condition monitoring, fault diagnosis, remaining useful life (RUL) prediction, and prognostics and health management (PHM) are increasingly being integrated into the lifecycle management of shipboard machinery, propulsion systems, mooring systems, and offshore facilities. Of particular note, emerging sectors such as deep-sea mining and large-scale dredging engineering introduce additional reliability challenges, as their equipment—including seabed crawlers, lifting pumps, cutter suction systems, and trailing suction hopper dredgers—must sustain continuous operation under extreme pressure, abrasive loading, and remote deployment conditions with limited maintenance accessibility.
This special session aims to bring together researchers, engineers, and practitioners from academia and industry to share the latest advances and emerging challenges in intelligent O&M and reliability assurance for ships and marine engineering equipment. It provides a platform for interdisciplinary exchange across reliability engineering, marine engineering, mechanical engineering, and artificial intelligence.
Topics of interest include, but are not limited to:
- Condition monitoring and fault diagnosis for shipboard machinery and propulsion systems
- Remaining useful life (RUL) prediction and prognostics for marine equipment
- Digital twin modeling and simulation for ships and offshore structures
- PHM frameworks for marine assets
- Fatigue and fracture mechanics of ship hulls, offshore platforms, and subsea structures
- Reliability modeling and failure analysis of offshore engineering equipment
- Reliability and health management for deep-sea mining systems (seabed crawlers, lifting pumps, riser systems)
- Condition monitoring and maintenance optimization for dredging equipment (cutter suction dredgers, trailing suction hopper dredgers)
- Corrosion monitoring, fatigue assessment, and structural health monitoring
- Risk-based inspection and maintenance optimization for marine systems
- Autonomous and remote O&M technologies for unmanned vessels and offshore facilities
- Data-driven decision support for fleet maintenance management
Case studies and industrial applications in ship and marine engineering reliability
