Motor efficiency working condition classification method, device, equipment and medium

The invention provides a motor efficiency working condition classification method and device, equipment and a medium, and the method comprises the steps: obtaining a to-be-classified motor efficiency MAP, inputting the to-be-classified motor efficiency MAP into an attention residual model, obtaining...

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Bibliographische Detailangaben
Hauptverfasser: LUO CHENGWEI, WU QUANLI, YU PEIJIN, LYU JINSHAN, PAN QIWEI
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention provides a motor efficiency working condition classification method and device, equipment and a medium, and the method comprises the steps: obtaining a to-be-classified motor efficiency MAP, inputting the to-be-classified motor efficiency MAP into an attention residual model, obtaining a classification result of the to-be-classified motor efficiency MAP output by the attention residual model, and obtaining the classification result of the to-be-classified motor efficiency MAP; and according to a classification result of the to-be-classified motor efficiency MAP, determining a classification working condition corresponding to the to-be-classified motor efficiency MAP. According to the scheme, the working condition information can be extracted through the motor efficiency MAP, the attention residual model completes fitting and verification in advance according to the standard working condition MAP set based on the residual neural network and the loss function, the time and cost in motor efficiency