Safran Aircraft Engines

Snecma

Pdf Solutions, Incorporated

Jerome Henri Noel Lacaille

Tsirizo Rabenoro

Valerio Gerez

William Bense

Julien Christian Pascal Griffaton

Aurelie Gouby

Jean-Michel Boiteux

Mohammed Meqqadmi

Pierre Etienne Mosser

Audrey Dupont

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.

Decision aid system and method for the maintenance of a machine with learning of a decision model supervised by expert opinion

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.

Method and device for measuring a thrust margin of a turbomachine

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.

System for pooling data relating to aircraft engines

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.

Method, system and computer program for learning phase of an acoustic or vibratory analysis of a machine

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.

Monitoring system for an engine test bench

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.

Non-regression method of a tool for designing a monitoring system of an aircraft engine

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.

Method of estimation on a curve of a relevant point for the detection of an anomaly of a motor and data processing system for the implementation thereof

A method monitoring an aircraft engine, including: collecting time history measurements on a first set of measurements on endogenic variables and a second set of measurements on exogenic variables; standardizing measurements related to the endogenic variables considering the exogenic variables to form an entry point corresponding to a condition of a current engine in a multi-dimensional space, for each acquisition; projecting each multi-dimensional space entry point onto an image point on a previously constructed map, forming a sequence of image points on the map reflecting a distribution of the multi-dimensional space entry points, the image points forming a current trajectory representing a change to conditions of the current engine; comparing an end of the current trajectory with previously recorded portions of aircraft engine trajectories kept in a database; and analyzing statistical variations of the trajectories to anticipate maintenance operations on the current engine.

Monitoring of an aircraft engine for anticipating maintenance operations

A global predictive monitoring system for a manufacturing facility. The system may be employed in an integrated circuit (IC) device fabrication facility to monitor processing of semiconductor wafers. The system may include deployment of a swarm of individually separate agents running in computers in the facility. Each agent may comprise a genetic algorithm and use several neural networks for computation. Each agent may be configured to receive a limited set of inputs, such as defectivity data and WIP information, and calculate a risk from the inputs. A risk may be a value indicative of a production yield. Each agent may also generate a quality value indicative of a reliability of the risk value. New agents may be generated from the initial population of agents. Outputs from the agents may be collected and used to calculate projections indicative of a trend of the production yield.

Growing community of inventors

Rosny Sous Bois, France

Jerome Henri Noel Lacaille