Abstract: 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.

Abstract: 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.

Abstract: A method of estimation on a curve of a relevant point for detecting an anomaly of a motor. The method includes selecting a profile including a binary code, each component of which codes a direction of variation between two consecutive characteristic points of at least one learning curve, a model making it possible to estimate a relevant point based on a set of characteristic points of a curve and a filter. The method also includes applying the filter of the profile selected to the curve, determining a set of characteristic points of the filtered curve and of a binary code, comparing the determined code and the code of the profile selected, and estimating, as a function of the comparison, the relevant point on the curve based on the characteristic points of the filtered curve and the model of the profile selected.

Abstract: A system for monitoring a set of components of a device, including: a detecting system including a set of agents for detecting anomalies, with each agent receiving measurements on physical parameters relating to a sub-set of components of a device and delivering an initial distribution of the probability of an anomaly; an acquiring system which receives feedback information and the initial distributions of the probability of an anomaly from the agents; an emerging system which iteratively emerges current distributions of the probability of an anomaly, with the current distributions of the probability of an anomaly converging towards a set of optimum distributions of the probability of an anomaly; and a synthesizing system which synthesizes optimum distributions of the probability of an anomaly relating to at least one sub-set of interest of components of the device in order to extract the risks of an anomaly specific to the sub-set of interest.

Abstract: A method of estimation on a curve of a relevant point for detecting an anomaly of a motor. The method includes selecting a profile including a binary code, each component of which codes a direction of variation between two consecutive characteristic points of at least one learning curve, a model making it possible to estimate a relevant point based on a set of characteristic points of a curve and a filter. The method also includes applying the filter of the profile selected to the curve, determining a set of characteristic points of the filtered curve and of a binary code, comparing the determined code and the code of the profile selected, and estimating, as a function of the comparison, the relevant point on the curve based on the characteristic points of the filtered curve and the model of the profile selected.

Abstract: The invention relates to a system for monitoring a set of components of a device such as an engine, comprising: means for detecting (2) comprising a set of agents for detecting anomalies (a1, . . . , ai, . . .