Method for estimating a trip intensity of a circuit breaker, system, assembly, and associated computer program

A system for estimating a trip intensity of a circuit breaker, the circuit breaker being able to be connected between a source and a load, the circuit breaker being configured to switch from an armed configuration, wherein the circuit breaker conducts a current flowing between the source and the load, to a tripped configuration, wherein the circuit breaker electrically isolates the load from the source, a trip current with an intensity equal to the trip intensity flowing in the circuit breaker when same switches to the tripped configuration, the switching of the circuit breaker to the tripped configuration generating a sound, representative of the trip intensity, the system comprising:

• a microphone, configured to acquire the sound generated by the circuit breaker when same switches to the tripped configuration and to emit an output signal, the output signal being representative of the sound;
• an electronic control module, configured to receive the output signal, the electronic control module comprising:
• a calculation unit configured to calculate a plurality of metrics from the output signal;
• and
• a determination unit, configured to determine a trip intensity class via an artificial intelligence model, previously trained by machine learning to provide, from the plurality of metrics, the trip intensity class associated with the trip current, the trip intensity class being chosen among a plurality of predetermined trip intensity classes, each trip intensity class corresponding to a trip intensity range.