Bearing fault diagnosis method based on SDP and visual Transform coding

The invention particularly relates to a bearing fault diagnosis method based on SDP and visual Transform coding. The method comprises the steps that a vibration signal is converted into an SDP graph; inputting the SDP image into a trained fault diagnosis model to output a corresponding fault type predicted value; segmenting the SDP image into a series of SDP image block sequences; linearly adding position embedding in the vector of the SDP image block sequence to obtain a position embedded image block sequence; capturing local information and global information in the SDP image block sequence and learning a dependency relationship among different parts in the SDP image block sequence to obtain SDP image block sequence coded representation; probability values of various fault types are obtained through an MLP head layer, and then the fault type corresponding to the maximum probability value serves as a fault type prediction value. According to the method, the SDP algorithm and the visual Transform coding are e