Reliability Centred Asset Management (RCAM)
The research within the RCAM group develops quantitative models and methods for electrical systems, which relates maintenance effort to system availability and total cost, with the aim to reach an optimal maintenance management.
Maximal asset performance and minimal life cycle cost are important objectives for electric power system managers. These objectives are constrained by the requirements of customers and regulators concerning the reliability of power supply. The re-regulation of the electricity market has further increased the incentives for a cost effective and efficient use of available assets. Maintenance planning constitutes one tool for achieving the goals with respect to all parties. Resulting in a research area on new strategies for more effective maintenance techniques and asset management methods, interesting from both industry and research perspective.
The generally known reliability-centered maintenance (RCM) method defines cost-efficient maintenance programs. However the method is generally not capable of showing the benefits of maintenance on system reliability and costs. A reliability-centered asset maintenance (RCAM) method has been developed at the division (Bertling 2002). This approach improves the RCM method by providing quantitative results when: relating the effect of maintenance on component failure rates to the system reliability, and for comparing the costs of different maintenance strategies. The overall objective for this research group is to further develop the RCAM for an optimal handling of assets in the electric power systems, as well as the own expertise in the area. The research group has the following research topics;
- maintenance planning and optimization including reliability-centered maintenance (RCM) methods
- reliability modeling and assessment for complex systems
- lifetime- and reliability modeling for electrical components
with application areas of mainly; distribution systems, transmission components (breakers, disconnectors, and transformers) and wind power.