Neural network training method for intelligent rotation performance detection
A neural network and training method technology, applied in neural learning methods, biological neural network models, neural architectures, etc., can solve problems such as lack, and achieve the effect of enhancing accuracy and improving detection capabilities
Inactive Publication Date: 2021-05-07
广州信悦数码科技有限公司
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Problems solved by technology
In the current detection device for rotation detection, the rotation performance of the high-speed rotating shaft is detected by making the high-speed rotating shaft rotate at a high speed. However, there is still a lack of effective means for judging the slight uneven rotation of the high-speed rotating shaft during the rotation process.
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[0032] Hereinafter, exemplary embodiments according to the present application will be described in detail with reference to the accompanying drawings. Apparently, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments of the present application. It should be understood that the present application is not limited by the exemplary embodiments described here.
[0033] Scenario overview
[0034] As mentioned above, currently in the process of detecting the rotation performance of the high-speed rotating shaft, there is still a lack of effective means for judging the slight uneven rotation of the high-speed rotating shaft during the rotation process. This is because during the high-speed rotation of the high-speed shaft, it is difficult to detect small uneven rotation through external features. With the development of computer vision technology, the inventor of the present application considers the computer vision d...
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The invention relates to intelligent rotation performance detection in the field of intelligent manufacturing, and particularly discloses a neural network training method for intelligent rotation performance detection. A computer vision detection scheme based on deep learning is used for capturing visual characteristics caused by tiny non-uniform rotation of the high-speed rotating shaft in the high-speed rotating process, so that the detection capability of the rotation performance of the high-speed rotating shaft is improved. Specifically, in a training process, a thought similar to transfer learning of an adversarial generative model is adopted, and rotation weak transformation of a plurality of images in a high-dimensional feature space in a high-speed rotation process of a high-speed rotating shaft is coupled into a high-dimensional image space in a transfer learning mode, so that the rotation weak transformation is converted into high-dimensional feature strong transformation; therefore, the neural network used for rotation performance detection can fully learn the rotation characteristics between the rotation characteristic graphs, and the accuracy of model detection is enhanced.
Description
technical field [0001] The present invention relates to intelligent rotation performance detection in the field of intelligent manufacturing, and more specifically, to a neural network training method for intelligent rotation performance detection, an intelligent rotation performance detection method based on a deep neural network, and a method for intelligent rotation performance detection. The neural network training system for performance detection, the intelligent rotation performance detection system and electronic equipment based on deep neural network. Background technique [0002] At present, the application of high-speed rotating shafts is becoming more and more extensive. When using new materials to make high-speed rotating shafts, it is often necessary to detect the high-speed rotating shafts, and the most important thing is the rotation detection. In the current detection device for rotation detection, the rotation performance of the high-speed rotating shaft is ...
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IPC IPC(8): G06N3/04G06N3/08G06K9/62
CPCG06N3/084G06N3/045G06F18/24
Inventor 周林
Owner 广州信悦数码科技有限公司