Bearing fault diagnosis method and system based on digital twinning

The invention discloses a bearing fault diagnosis method and system based on digital twinning, and relates to the technical field of signal processing.The bearing fault diagnosis method based on digital twinning comprises the following steps that S1, bearing operation data are collected and fused with simulation data, a vibration signal in the data is preprocessed through discrete wavelet transform, and the vibration signal is obtained; selecting a time-frequency domain mixed feature as a digital twin input parameter; s2, constructing a digital twin virtual entity based on a 2DCNN-LSTM algorithm, and performing feature extraction and fault diagnosis classification; and S3, continuously correcting and improving virtual entity parameters based on the collected real-time data. According to the method, the 2DCNN-LSTM diagnosis model is adopted, the fault diagnosis of the bearing is relatively high in accuracy, the proposed bearing digital twin construction method achieves the characteristics of bidirectional inte