Aging railway infrastructure systems possess additional emerging risks by their inability to provide early warnings to asset maintainers so that critical components can be prioritised and managed in a timely manner. Therefore, an integrated research approach is critically needed in order to reinforce asset condition monitoring (bottom-up) and response prediction (top-down) of rail systems management, maintenance and operation in order to provide safe and seamless railways. Novel smart sensors, wireless technologies, and on-board monitoring technology such as infrastructure-to-infrastructure and infrastructure-to-vehicle communications are essential to modernise railway infrastructure systems. Integration of sensors in railway information model (RIM) will revolutionise real-time asset maintenance, monitoring and prioritisation policy. The collaborative research focusing on health and condition monitoring will assure public safety and reliability. This Research Topic will pave the impact to railway industry through the benefit from knowledge transfer and technology establishment in this research field.
This Research Topic will bring together the research and innovation associated with rail infrastructure systems issues related to advanced condition monitoring. It is important to note that the rail transport system consists of interaction between inspection/monitoring, operation and maintenance. One of the important considerations is the flow of health condition data, which is often directed to passenger safety, overlooking the freight transport needs for cost saving. In the case of advanced condition monitoring can play an important role in providing novel methodological approaches optimising reliability, availability and asset management. Therefore, systems consideration of rail infrastructure systems and the resulting impact at the systems level is welcome for this Research Topic.
Potential topics include but are not limited to the following:
• Advanced sensors
• Condition monitoring
• Advanced materials
• Non-destructive testing and evaluation
• Integrated intelligence
• Machine learning
• Asset management
• Maintenance and inspections
• Serviceability and optimisation
• Big data analytics
• Rolling stocks
• Railway tracks
Aging railway infrastructure systems possess additional emerging risks by their inability to provide early warnings to asset maintainers so that critical components can be prioritised and managed in a timely manner. Therefore, an integrated research approach is critically needed in order to reinforce asset condition monitoring (bottom-up) and response prediction (top-down) of rail systems management, maintenance and operation in order to provide safe and seamless railways. Novel smart sensors, wireless technologies, and on-board monitoring technology such as infrastructure-to-infrastructure and infrastructure-to-vehicle communications are essential to modernise railway infrastructure systems. Integration of sensors in railway information model (RIM) will revolutionise real-time asset maintenance, monitoring and prioritisation policy. The collaborative research focusing on health and condition monitoring will assure public safety and reliability. This Research Topic will pave the impact to railway industry through the benefit from knowledge transfer and technology establishment in this research field.
This Research Topic will bring together the research and innovation associated with rail infrastructure systems issues related to advanced condition monitoring. It is important to note that the rail transport system consists of interaction between inspection/monitoring, operation and maintenance. One of the important considerations is the flow of health condition data, which is often directed to passenger safety, overlooking the freight transport needs for cost saving. In the case of advanced condition monitoring can play an important role in providing novel methodological approaches optimising reliability, availability and asset management. Therefore, systems consideration of rail infrastructure systems and the resulting impact at the systems level is welcome for this Research Topic.
Potential topics include but are not limited to the following:
• Advanced sensors
• Condition monitoring
• Advanced materials
• Non-destructive testing and evaluation
• Integrated intelligence
• Machine learning
• Asset management
• Maintenance and inspections
• Serviceability and optimisation
• Big data analytics
• Rolling stocks
• Railway tracks
