SYSTEM AND METHOD FOR DECISION SUPPORT FOR THE MAINTENANCE OF A MACHINE WITH LEARNING OF A DECISION MODEL SUPERVISED BY EXPERT ADVICE

摘要

The invention relates to a decision support system (1) for the maintenance of a machine (2), comprising anomaly detection modules (31, 32, 33) configured to determine health indicators at from measurements of physical parameters of the machine, a calculator (5) configured to calculate an operating diagnosis from health indicators by applying a decision model capable of learning, and a human-machine interface (6) configured so as to enable at least one expert to consult the health indicators and to declare an expert diagnosis, characterized in that the computer (5) is further configured to compare an operating diagnosis calculated from a set of health indicators with at least one expert diagnosis declared after consultation of said set of health indicators, and to modify the decision model in the event of disagreement between the calculation anomaly diagnosis and the at least one expert diagnosis declared. It extends to the method implemented by this system, as well as to a computer program product for the implementation of the method.