Blister Defect Detection Based on Convolutional Neural Network for Polymer Lithium-Ion Battery
作者： Liyong Ma , Wei Xie , Yong Zhang
DOI: 10.3390/APP9061085
关键词: Convolutional neural network 、 Optoelectronics 、 Lithium-ion battery 、 Polymer 、 Computer science
摘要: To ensure the quality and reliability of polymer lithium-ion battery (PLB), automatic blister defect detection instead of manual detection is developed in the production of PLB cell sheets. A convolutional neural network (CNN) based detection method is proposed to detect blister in cell sheets employing cell sheet images. An improved architecture for dense block and a learning method based on optimization of learning rate are discussed. The proposed method was superior to other machine learning based methods when the classification …
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