A method of detecting tripping of an interrupting apparatus in an electrical cabinet, said electrical cabinet comprising at least one electrical current interrupting apparatus and at least one electrical current switching apparatus, the method comprising a learning phase suitable for generating decision-making categories associated with an acoustic signature of the tripping of said at least one switching device, and a phase of detecting the tripping of the switching device comprising steps consisting of: - acquiring a device noise signal generated by at least one of said electrical current switching devices or at least one electrical current switching device, and - comparing said device noise signal with said decision making categories to detect whether the device noise signal corresponds to triggering of the mute device, the detection method being characterised in that the learning phase comprises steps of: - injecting a predetermined switching current into the switching device and recording the switching noise signal generated, - sending the mute noise signal to an automatic learning system capable of recognising the acoustic signature of the mute device and outputting discrete mute values, - grouping the discrete cut-off values to create the decision-making categories, - injecting a predetermined current into the switching device and recording the switching noise signal generated, - sending the switching noise signal to the automatic learning system and obtaining discrete switching values as an output, - discriminating between discrete switching values and discrete cut-off values by modifying the decision making categories so as to exclude discrete switching values which fall into those decision making categories. - acquiring a device noise signal generated by at least one of said electrical current switching devices or at least one electrical current switching device, and - comparing said device noise signal with said decision making categories to detect whether the device noise signal corresponds to triggering of the mute device, the detection method being characterised in that the learning phase comprises steps of: - injecting a predetermined switching current into the switching device and recording the switching noise signal generated, - sending the mute noise signal to an automatic learning system capable of recognising the acoustic signature of the mute device and outputting discrete mute values, - grouping the discrete cut-off values to create the decision-making categories, - injecting a predetermined current into the switching device and recording the switching noise signal generated, - sending the switching noise signal to the automatic learning system and obtaining discrete switching values as an output, - discriminating between discrete switching values and discrete cut-off values by modifying the decision making categories so as to exclude discrete switching values which fall into those decision making categories. - injecting a predetermined switching current into the switching device and recording the switching noise signal generated, - sending the mute noise signal to an automatic learning system capable of recognising the acoustic signature of the mute device and outputting discrete mute values, - grouping the discrete cut-off values to create the decision-making categories, - injecting a predetermined current into the switching device and recording the switching noise signal generated, - sending the switching noise signal to the automatic learning system and obtaining discrete switching values as an output, - discriminating between discrete switching values and discrete cut-off values by modifying the decision making categories so as to exclude discrete switching values which fall into those decision making categories.