METHOD FOR ESTIMATING THE STATE OF WEAR OF A TIRE

A method for estimating the state of wear of a tire comprises: recording a vibroacoustic signal () produced by the tire running on a road during a time frame; converting the time signal () into a frequency signal () over a frequency range; segmenting the frequency range into frequency bands and associating a datum representing the frequency signal with each band, with the representative datum forming a variable of a matrix (); predicting a state of wear from the matrix, by means of machine learning () from the data based on a learning database, according to modalities each representing a state of wear of the tire; and determining the state of wear of the tire () after a number N of identical predictions in a series M of consecutive predictions.