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 pr...
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| creator | HUANG DARONG WANG YONGSHI NA YUHONG ZHANG LIANGYU CUI JINHU BAO YIBO ZHAO DONG |
| description | 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 |
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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. 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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. 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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING MEASURING PHYSICS TESTING TESTING STATIC OR DYNAMIC BALANCE OF MACHINES ORSTRUCTURES TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR |
| title | Bearing fault diagnosis method based on SDP and visual Transform coding |
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