Bearing fault signal time-frequency analysis method based on polynomial S-chirplet transformation

The invention discloses a time-frequency analysis method for a bearing fault signal based on polynomial S-chirplet transformation. The time-frequency analysis method comprises the following steps: acquiring a bearing vibration signal to be analyzed; processing the modulation signal based on generalized S-transform to obtain a preliminary time-frequency analysis result; identifying the ridge line with the current maximum energy; calculating a polynomial coefficient, and calculating a frequency rotation operator and a frequency movement operator by using the coefficient; calculating polynomial chirplet transformation of generalized S transformation based on two operators to obtain an optimized time-frequency analysis result, and extracting by using an adaptive ridge line detection method to obtain a new ridge line; judging the ridge lines extracted twice; and adding all components extracted by the polynomial S-chirplet transform to obtain an instantaneous frequency change diagram, thereby realizing analysis of