Semi-synthetic Data Set Based Lithium-Ion Battery Pole Piece Defect Inspection
Author:
Affiliation:
1. Tsinghua University,Shenzhen International Graduate School,Shenzhen,China
2. China Mobile Guangdong,China Mobile,Guangzhou,China
3. China Mobile GBA (Greater Bay Area) Innovation Institute,China Mobile,Guangzhou,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10603448/10603453/10603800.pdf?arnumber=10603800
Reference24 articles.
1. Surface Defects Detection and Identification of Lithium Battery Pole Piece Based on Multi-Feature Fusion and PSO-SVM
2. Research on Defect Recognition of Lithium Battery Pole Piece Based on Deep Learning
3. Recognition of Pole Piece Defects of Lithium Battery Based on Sparse Decomposition
4. RD-GRF for Automatic Classification of Surface Defects of Lithium-ion Battery Electrodes
5. An Automatic Defects Detection Scheme for Lithium-ion Battery Electrode Surface
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