A decision aid system, method and computer program product for the maintenance of a machine, including anomaly detection modules to determine health indicators on the basis of measurements of physical parameters of the machine, a calculator to compute an operating diagnosis on the basis of health indicators by applying a decision model capable of learning, and a man-machine interface to allow an expert to consult the health indicators and to declare a diagnosis. The calculator can compare an operational diagnosis computed based on a set of health indicators with at least one expert diagnosis declared after consultation of the set of health indicators, and can modify the decision model in the event of disagreement between the anomaly diagnosis computed and an expert diagnosis declared.
Please help me write a proper abstract based on the patent claims. CLAIM: 1-11. (canceled) 12. A decision aid system for the maintenance of a machine, comprising anomaly detection modules configured to determine health indicators from measurements of physical parameters of the machine, a calculator configured to compute an operating diagnosis using a decision model capable of learning and a set of health indicators from the determined health indicators, and a man-machine interface configured in such a way as to allow at least one expert to consult the determined health indicators and to declare an expert diagnosis, wherein the calculator is further configured to compare the operational diagnosis computed using said 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 computed operational diagnosis and the at least one declared expert diagnosis. 13. The system according to claim 12, wherein the calculator is configured to modify the decision model after declaration, through the man-machine interface, that at least one declared expert diagnostic is confirmed. 14. The system according to claim 13, wherein the calculator is configured to not modify the decision model after declaration, through the man-machine interface, that at least one declared expert diagnostic is invalidated. 15. The system according to claim 12, wherein the calculator is configured to compare the operating diagnosis computed from said set of health indicators with a plurality of expert diagnoses each declared after an expert belonging to a panel of experts has consulted said set of health indicators, and wherein the man-machine interface is also configured such that each expert in the panel can view the expert diagnosis declared by each or some of the other experts in the panel and the computed anomaly diagnostic. 16. The system according to claim 12, wherein the calculator is further configured, when the decision model is modified, to weight the importance of at least one expert diagnosis declared by an expert by an expertise level of the expert. 17. The system according to claim 16, wherein the level of expertise is associated with a given type of machine operation. 18. The system according to claim 12, wherein the calculator is further configured to reinforce an expertise level of the system in case of agreement between the computed operating diagnosis and at least one declared expert diagnosis. 19. The system according to claim 12, further comprising a database for the storage of the health indicators and the declared expert diagnoses. 20. The system according to claim 12, wherein the decision model is a naive Bayes classification. 21. The system according to claim 12, wherein the decision model is a classification derived from the application of a decisional random forest algorithm. 22. A decision aid method for maintenance of a machine, comprising the steps of: determining health indicators from measurements of physical parameters of the machine, calculating an operating diagnosis using a decision model capable of learning and a set of health indicators from the determined health indicators, consulting said set of health indicators by at least one expert and declaring an expert diagnosis by the at least one expert, comparing the computed operational diagnosis with the at least one declared expert diagnosis, and modifying the decision model in the event of disagreement between the computed operational diagnosis and the at least one declared expert diagnosis. 23. A computer program containing code instructions for execution of the comparison and modification steps in the method according to claim 22, when said program is executed on a computer.