Operational Metrics to Assess Performances of a Prognosis Function. Application to Lubricant of a Turbofan Engine Over- Consumption Prognosis.

In the aeronautical field, one of the major concerns is the availability of systems. To ensure availability, Prognosis and Health Management algorithms are developed. The aim of these algorithms is twofold. The first one is to detect and locate degradation premise of “no go ” condition occurrence. The second one is to predict the health state of the system at a given time horizon. Before introducing PHM algorithms in operation, it is necessary to assess their performances. This is accomplished thank to a “maturation ” phase. This phase consists in defining the performance metrics from an operational relevance point of view, in estimating this performance indicator and finally in proposing improvements to meet the airline companies requirements. We consider that the maturation of the detection functio