Safran Aircraft Engines

Snecma

William Bense

Valerio Gerez

Serge Blanchard

Jerome Henri Noel Lacaille

Jérôme Lacaille

Jérôme Henri Noël Lacaille

Julien Christian Pascal Griffaton

Jean-Michel Boiteux

Jean-Yves Picart

Francois Prost

François Prost

Audrey Dupont

Jerome Henri Lacaille

Julien Christian Griffaton

A method for monitoring at least one engine of an aircraft wherein the aircraft includes a passenger cabin. The method includes a step of acquiring a signal that is at least in part representative of the activity of the engine, using a sensor during a flight of the aircraft, and searching for a defect in the engine by a processing unit using data obtained from the signal. In some embodiments, the sensor is in a mobile device located in the passenger cabin. In some embodiments, the health of the at least one engine uses the signal acquired by a plurality of mobile devices.

Method for monitoring 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 method for the acoustic analysis of a machine (M) including the acquisition of at least one acoustic signal supplied by at least one microphone () positioned in the machine, characterized in that it comprises the following steps: separation of at least one acoustic signal into a plurality of sound sources, the signal being modelled as a mixture of components, each one corresponding to a sound source; for at least one separated sound source, determination of a characteristic acoustic signature; comparison of at least one characteristic acoustic signature with at least one reference acoustic signature recorded in a reference database ().

Method, system and computer program for the acoustic analysis of a machine

The invention relates to an autonomous device () for storing and releasing energy in order to power a piece of electrical equipment (), in particular a piece of electrical equipment () of an aircraft, characterised in that said device comprises:

Self-contained device for storing and releasing energy in order to power a piece of electrical equipment

A device for regulating the flow rate of fuel supplied to an aircraft engine, configured to produce a fuel flow rate set value according to a thrust set value supplied by a gas control lever and a measurement of actual thrust of the engine. It extends to a control system including the regulation device and a device for measuring the actual thrust of the engine, to an engine equipped with such a control system, to a regulation method and to a computer program for implementing the method.

Device and method for regulating a motor using a thrust measurement

A method and a system are provided for detecting first signs of failure in an aircraft engine valve. The system includes an acquisition device configured to acquire output pressure measurements of the valve and command and context data related to the valve, and a processing device configured to define a set of indicators of first signs of failure as a function of the output pressure measurements and the command and context data. The processing device is configured to monitor a change over time in each indicator of the set of indicators of first signs of failure. The processing device is configured to detect a possible deviation of at least one indicator among the set of indicators, the deviation representing the first signs of failure of the valve.

Method for monitoring a valve of an aircraft engine

A system and method for detecting defects on an object including forming an image representing the object from signals relating to the object, constructing subdivisions of the image according to auto-adaptive resolutions, and calculating differentials between various subdivisions in order to detect an abnormal subdivision indicating incipient failure.

System for detecting defects on an object

A method and a system for detecting the first signs of malfunction of an aircraft engine valve, including an acquisition device to acquire the output pressure measurements of the valve, and contextual and command data of the valve, a processor to define a set of indicators of the first signs of malfunction, according to the output pressure measurements and the contextual and command data. A set of estimators corresponding to the set of indicators of the first signs of a malfunction, is determined using a previously produced regression model. At least one distance between the set of indicators and the set of estimators is computed. The distance is compared to a threshold of the first signs of a malfunction, in order to detect the first signs of malfunction of the said valve.

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Melun, France

William Bense