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Intelligent Recognition of Ferrographic Images Combining Optimal CNN with Transfer Learning Introducing Virtual Images
2020
IEEE Access
Ferrography analysis(FA) is an important approach to detect the wear state of mechanical equipment. Ferrographic image recognition based on deep learning needs a large number of image samples. However, the ferrographic images of mechanical equipment are difficult to obtain enough high-quality samples in a short time due to the complexity and low efficiency of the ferrogram making. Therefore, the recognition method for small sample ferrographic images based on the convolutional neural
doi:10.1109/access.2020.3011728
fatcat:peeueiafabdgtdboeth3reeivm