Abstract: A method for balancing a set of blades intended to be arranged on a bare disc of an aircraft engine, the bare disc comprising a defined number of numbered cells (ai) intended to receive the same defined number of blades, which can have a spread of mass, the method comprising the following steps:—sorting the blades by monotonic order of their mass (mi) to form an ordered set of blades,—separating the ordered set of blades in a balanced manner into four lobes constituted by a first large lobe, by a second large lobe, by a first small lobe and by a second small lobe, the blades being classified into each lobe according to a current placement order, and—arranging the four lobes on the bare disc by making the current placement order of the blades correspond to the numbered cells of the bare disc.

Abstract: A method for monitoring a starting sequence of a turbomachine including a compressor provided with a rotor, a starter capable of rotating the rotor and a combustion chamber, the method including determining a bracketing of a time zone during which the ignition instant takes place, the bracketing being defined by, on the one hand, a lower limit corresponding to an event necessarily taking place before the ignition instant and an upper limit corresponding to an event necessarily taking place after the ignition instant; and determining between the lower limit and the upper limit, a break point in the variation with time of the measurement signal, this break point corresponding to an ignition instant of the air-fuel mixture in the combustion chamber.

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 computing environment system for monitoring aircraft engines, the system being connected to a cluster of servers, the system including an application interface configured so as to receive user codes that are developed independently from a distributed deployment system specifying the calculation of a set of indicators relating to an aircraft engine for deployment on a fleet of aircraft engines; an extraction module configured so as to extract the indicators by deploying parallel calculations on temporal flight data from the fleet of aircraft engines and stored in a database distributed over the cluster of servers; a learning module configured so as to use the indicators to construct, without supervision, from the indicators, a monitoring model representative of the indicators by implementing predetermined learning functions.

Abstract: A method for measuring a thrust margin of a turbomachine, in which data are acquired including the thrust margin which is determined as a function of a specified thrust and a measured thrust, the measured thrust being determined on a measuring bench which includes a bench equipment and on which the turbomachine is, wherein a time evolution of the thrust margin is modelled by at least one linear or affine function which is calculated for at least one determined time interval of the thrust margin, at least one bias of the bench equipment is calculated relative to at least one linear or affine function having been calculated, the thrust margin is corrected by subtracting from it at least one bias of the bench equipment in at least one determined time interval.

Abstract: A system for pooling observation data relating to aircraft engines includes a receiver adapted for recovering the observation data from distinct entities, a processor adapted for describing the observation data in a metric space by transforming them into measurable observation states, and a database adapted for storing therein the observation states.

Abstract: A method for balancing a set of blades intended to be arranged on a bare disc of an aircraft engine, the bare disc comprising a defined number of numbered cells (ai) intended to receive the same defined number of blades, which can have a spread of mass, the method comprising the following steps:—sorting the blades by monotonic order of their mass (mi) to form an ordered set of blades,—separating the ordered set of blades in a balanced manner into four lobes constituted by a first large lobe, by a second large lobe, by a first small lobe and by a second small lobe, the blades being classified into each lobe according to a current placement order, and—arranging the four lobes on the bare disc by making the current placement order of the blades correspond to the numbered cells of the bare disc.

Abstract: A method of analysis of the state of operation of a machine including a learning step supplementing a reference database with one or more thresholds for one or more indicators calculated on the basis of signals delivered by a sensor associated with the machine, the learning step including the following operations implemented by a computer processing unit; an acquisition of signals characteristic of normal operation and of abnormal operation of the machine; of each of the signals characteristic of normal operation, formation of at least one so-called deviation signal by implementing a mathematical operation having as attributes the signal characteristic of normal operation and one of the signals characteristic of normal or abnormal operation other than the signal characteristic of the normal operation; for each of the deviation signals, calculation of an indicator; determination of an indicator threshold representative of a limit between normal operation and abnormal operation of the machine.

Abstract: A monitoring method and system for a test bench for at least one engine component, including: an acquisition mechanism to acquire time signal packets corresponding to measurements of endogenic and exogenic parameters specific to the combination of the test bench and the engine component, at successive instants; and a processor to construct an endogenic indicator vector and an associated exogenic indicator factor at each instant of the successive instants, using time signal packets earlier than the instant, to identify a context class for the exogenic indicator vector, and to calculate a risk probability of the endogenic indicator vector conditioned by the identified context class for the associated exogenic indicator vector using at least one anomaly detector, to produce a diagnostic of a state of the test bench and engine component combination.

Abstract: A method for measuring a thrust margin of a turbomachine, in which data are acquired including the thrust margin which is determined as a function of a specified thrust and a measured thrust, the measured thrust being determined on a measuring bench which includes a bench equipment and on which the turbomachine is, wherein a time evolution of the thrust margin is modelled by at least one linear or affine function which is calculated for at least one determined time interval of the thrust margin, at least one bias of the bench equipment is calculated relative to at least one linear or affine function having been calculated, the thrust margin is corrected by subtracting from it at least one bias of the bench equipment in at least one determined time interval.

Abstract: A method and a system for monitoring an aircraft engine (2), including: acquisition and processing part (11) configured to collect a time signal of the exhaust gas temperature residual margin of the aircraft engine (2), acquisition and processing part (11) configured to smooth the time signal thus forming a first curve representing the temperature residual margin, acquisition and processing part (11) configured to identify decreasing pieces in the first curve, acquisition and processing part (11) configured to construct a second curve by concatenation of the decreasing pieces, the second curve being continuous while being restricted to the decreasing pieces of the first curve, acquisition and processing part (11) configured to construct a prediction model from the second curve to determine at least one failure forecast indicator.

Abstract: A system of non-regression tests of a designing tool including modules used to build a monitoring device of an aircraft engine is provided. The system includes a processor configured to automatically create an experience base by instrumenting behavior tests upon executing the modules, the experience base including reference input signals, sets of reference parameters, reference output signals, and collections of results of reference executions relating to the modules; start again the behavior tests on the modules depending on the corresponding reference input signals and the corresponding sets of reference parameters thus generating test output signals and collections of results of test executions; and compare the test output signals with the corresponding reference output signals and the collections of results of test execution with the corresponding collections of results of reference executions in order to test the non-regression of the designing tool.

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 tool for validation of a system for monitoring at least one piece of equipment in an aircraft engine, also comprising a computer configured to: collect observation data related to the equipment, calculate a current value of at least one quality indicator on a current quantity of observation data, estimate the probability that the current value of the quality indicator reaches a predetermined reliability criterion, thus forming a probabilistic reliability law, and estimate a minimum quantity of observation data from the probabilistic reliability law, starting from which the value of the quality indicator reaches a predetermined reliability criterion with a probability exceeding a predetermined value.

Abstract: A method of estimating future change in operation of a monitored aircraft (A), including the following steps performed by a computer on board the monitored aircraft, to calculate a current state of the monitored aircraft (ECA) from measurements (VFA) of variables related to operation of the monitored aircraft, to send a request to analyze the similarity of the calculated current state with previous states (EPB) of similar aircraft, and to analyze change in operation (SPB) of each similar aircraft having a similar previous state to determine a probable change (FPA) in operation of the monitored aircraft. The method includes a step performed by a computer (B) on board each aircraft, to compare the calculated current state (ECA) with previous states (EPB) of similar aircraft, and send the change in operation (SPB) corresponding to an identified similar previous state. The invention includes an on board system capable of implementing the method.

Abstract: A system for pooling observation data relating to aircraft engines includes a receiver adapted for recovering the observation data from distinct entities, a processor adapted for describing the observation data in a metric space by transforming them into measurable observation states, and a database adapted for storing therein the observation states.

Abstract: A method of analysis of the state of operation of a machine including a learning step supplementing a reference database with one or more thresholds for one or more indicators calculated on the basis of signals delivered by a sensor associated with the machine, the learning step including the following operations implemented by a computer processing unit; an acquisition of signals characteristic of normal operation and of abnormal operation of the machine: of each of the signals characteristic of normal operation, formation of at least one so-called deviation signal by implementing a mathematical operation having as attributes the signal characteristic of normal operation and one of the signals characteristic of normal or abnormal operation other than the signal characteristic of the normal operation; for each of the deviation signals, calculation of an indicator; determination of an indicator threshold representative of a limit between normal operation and abnormal operation of the machine.

Abstract: A tool for validation of a system for monitoring at least one piece of equipment in an aircraft engine, also comprising a computer configured to: collect observation data related to the equipment, calculate a current value of at least one quality indicator on a current quantity of observation data, estimate the probability that the current value of the quality indicator reaches a predetermined reliability criterion, thus forming a probabilistic reliability law, and estimate a minimum quantity of observation data from the probabilistic reliability law, starting from which the value of the quality indicator reaches a predetermined reliability criterion with a probability exceeding a predetermined value.

Abstract: A device for detecting anomalies in an aircraft turbine engine by acoustic analysis, the device not an onboard device and including: a mobile module including a directional system for acquiring acoustic signals from the turbine engine; a processor for processing the signals, which is suitable for generating a damage report; a transmitter for transmitting the damage report; a server capable of exchanging data with the mobile module, the server including a receiver for receiving the damage report; and a storage device suitable for storing the damage report.

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.