A study on maintenance decision support for power grid components using their inspection and maintenance records

Electric power companies are storing massive records such as results of inspection and maintenance through their daily operations. Although the massive records have been expecting to utilize for efficiency improvement of the power grid operations and planning, applications of the massive records have been limited in a small portion until now. The authors analyse 3.0 million sets of inspection scores and 0.9 million cases of their measures (need follow-up observation, or need repair or replacement) that have been actually stored in an electric power company. Moreover, based on the analysis results, a decision support model is constructed for judging maintenance necessity (need repair or replacement) in response to the inspection scores. A decision tree analysis, which represents its decisions and decision-making process visually and explicitly, is applied in the process. Usefulness of the authors' proposal is verified through numerical simulations and discussions on their results.