Approach to solving the task of availability prediction and cost optimization of a steam turbine

This paper deals with approaches to solving the task of availability prediction and maintenance cost optimization of steam turbines in the Czech coal-fired power plants. There are presented commonly used methods for input data processing and for the availability modeling with using a data of breakdowns and repairs. Mentioned methodologies are compared considering the utilization for decision support in maintenance of steam turbines.