Asset Management
The focus of this area of modelling is to understand how an asset degrades through time and use, and to identify the most cost effective options for maintenance and renewal.
The degradation of the system components can be established through classical statistical techniques, or the use of artificial intelligence.
The performance of the system is then predicted, accounting for alternative asset management strategies, using techniques such as Petri net analysis or Markov methods. The prediction includes the future state of the asset, the number of each type of maintenance that would be carried out over the system lifetime, and the Life Cycle Costs.
An overview of the Group's projects in this research area can be found below. For further details please contact:
Dr Rasa Remenyte-Prescott
Asset Management Optimisation
Bridge Condition Markov Model
Bridge Condition Monitoring and Fault Diagnostics
Bridge Condition Petri Net Model
Bridge Degradation Modelling
Bridge Maintenance Optimisation
Fault Tolerant Railway
Generalised Fleet Maintenance Modelling
In2Rail - Asset Management Modelling Framework
In2Rail - Integrated Track Geometry Model
Maintenance Free Operation Corridors
Maintenance Free Operation in Railway Corridors
Maintenance Modelling of Overhead Line Equipment
Markov Track Condition Modelling
Modelling Bridge Deterioration
Multi Defect Bridge Asset Management
Multi Span Bridge Asset Management
Offshore Oil and Gas Asset Management
Optimal Track Asset Management
Railway Drainage Asset Management
Signalling System Modelling
Track Condition Petri Net Model
Track Degradation Modelling
Wind Farm Asset Management