Research on Melt Anomaly Identification of Pelletizer Based on Auto-encoder
The morphological characteristics and causes of melt abnormality in the melt extrusion process of polyester pelletizer are analyzed.The feasibility of the application of deep learning method based on auto-encoder in the field of melt anomaly identification is discussed.The application effect of image anomaly identification network based on auto-encoder is studied by using Deep Learning Tool platform.The experimental results show that the network used in this paper has good melt anomaly identification accuracy and generalization performance,and initially realizes the effective distinction of melt anomaly degree.
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