Abstract: A method measures electrical equipment of a system for supplying power. The electrical equipment includes a housing with an insulating fluid. The method includes: recording measurement values representing dissolved gases in the insulating fluid; determining equipment parameters; adapting the measurement values to a uniform evaluation basis using the equipment parameters; assessing a state of the electrical equipment based on the adapted measurement values at least one machine learning method; and outputting the state.

Abstract: In the present method and apparatus for processing a vibro-acoustic signal emitted by a high-voltage switching system, the vibro-acoustic signal is converted into a digital signal. The digital signal is rectified and the resulting rectified signal is applied to a convolutional filter with a spectral window to produce a smoothed signal. The smoothed signal is decimated to produce a decimated signal representing an envelope of the vibro-acoustic signal. A time realignment of the decimated signal is carried out with respect to a reference signature to produce a realigned signal. Time deviation values generate an alarm if they exceed a limit threshold. The realigned signal is added as a factor of means providing a reference signature and an actualized signature. Variances of the realigned signal are calculated with respect to the reference and actualized signatures.