In earlier projects (“Value-added maintenance in power production" and "Assessment of technical condition and lifetime of transmission and distribution components”), tools for optimizing maintenance decisions have been developed. These tools can be used to analyze the profitability of reinvestments and maintenance. The tools require that necessary input parameters are estimated, for example, remaining lifetime of critical components, costs of potential maintenance tasks, costs of failure consequences, production losses, etc. Different sources of data and information that can be utilized for this purpose already exist today. The CMMS, for example, contains historical information about inspections, faults and maintenance tasks, and in RCM-analyses, information about critical components, failure mechanisms, failure causes and mean time to failure (MTTF) can be found. However, this information is not intended for statistical analyses or other types of lifetime analyses.

The tools for optimizing maintenance decisions can be used to estimate risk and utility value for different maintenance/reinvestment alternatives. Furthermore, the net present value of different maintenance/reinvestment alternatives can be calculated by the tools. These results are a good basis for decisions about correct type and time of maintenance. In addition, they are a good documentation of the information that has been used as basis for the maintenance decisions.

The figure below shows the main steps in a maintenance analysis process. The Syslife project  focuses on lifetime-related data which is the basis for estimation of remaining lifetime and the calculation of failure probability. The aim of the project is to establish a database and an information system for collecting, storing and analysis of lifetime related data. In addition, the SysLife-system will support registering of good condition and lifetime data by providing condition monitoring handbooks and a damage atlas with photos of typical failure mechanisms.


In another research project, which is carried out at the same time, the analysis process is analyzed and it is focused on how power companies can utilize a future-oriented analysis environment to optimize the analysis process. More information about this project can be found here (FRAM).

Published March 26, 2012

Project owner: Energy Norway  -  Project manager: Bjarne Børresen

Project conductor : SINTEF Energy Research  -  Project leader: Thomas Welte