Abstract:
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 (7) 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 (5).
Abstract:
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.
Abstract:
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.
Abstract:
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.