This sub-project aims to identify and test techniques for assessing and optimizing the reliability of grid components and to quantify the potential benefits of maintenance optimization.
The sub-project will first quantify the reliability levels of the electrical components by analyzing the main causes of failure, identifying the damage sequences (FMEA models) and assessing their criticality in terms of supply availability.
For more numerous and more standardized components (for which a statistical analysis is possible), the sub-project aims to quantify the technical benefits that can be gained from the practical application of maintenance optimization methods such as PMO, RCM, CBM, PLE etc.
For components with a lower degree of standardization, for which statistical processing is poorly applicable, the sub-project aims to analyze techniques to help assess the remaining useful life and decide on the conservation measures to be adopted to extend the useful life.
The sub-project also aims to verify the effectiveness of the application of algorithms and innovative analysis techniques in the field of diagnosis and maintenance, with particular reference to fuzzy logic.