Image-based defect detection in lithium-ion battery electrode using convolutional neural networks

A Generic Deep-Learning-Based Approach for Automated Surface Inspection

(2018) Ruoxu Ren et al.   IEEE Transactions on Cybernetics

Automatic Metallic Surface Defect Detection and Recognition with Convolutional Neural Networks

(2018) Xian Tao et al.   Applied Sciences-Basel

A fast and robust convolutional neural network-based defect detection model in product quality control

(2017) Tian Wang et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Image driven machine learning methods for microstructure recognition

(2016) Aritra Chowdhury et al.   COMPUTATIONAL MATERIALS SCIENCE

Effect of electrode manufacturing defects on electrochemical performance of lithium-ion batteries: Cognizance of the battery failure sources

(2016) D. Mohanty et al.   JOURNAL OF POWER SOURCES

The interaction of consecutive process steps in the manufacturing of lithium-ion battery electrodes with regard to structural and electrochemical properties

(2016) Henrike Bockholt et al.   JOURNAL OF POWER SOURCES

Intensive powder mixing for dry dispersing of carbon black and its relevance for lithium-ion battery cathodes

(2016) Henrike Bockholt et al.   POWDER TECHNOLOGY

A computer vision approach for automated analysis and classification of microstructural image data

(2015) Brian L. DeCost et al.   COMPUTATIONAL MATERIALS SCIENCE

A Machine Learning-Based Design Representation Method for Designing Heterogeneous Microstructures

(2015) Hongyi Xu et al.   JOURNAL OF MECHANICAL DESIGN

Influence of Microstructure on Impedance Response in Intercalation Electrodes

(2015) S. Cho et al.   JOURNAL OF THE ELECTROCHEMICAL SOCIETY

Li-ion battery materials: present and future

(2015) Naoki Nitta et al.   Materials Today

Deep learning

(2015) Yann LeCun et al.   NATURE

Lithium-ion battery electrode inspection using pulse thermography

(2014) Nathan Sharp et al.   NDT & E INTERNATIONAL

New Quality Evaluation Approaches for Lithium Ion Batteries Using the Interference Layer Metallography in Combination with Quantitative Structural Analysis

(2014) C. Weisenberger et al.   PRAKTISCHE METALLOGRAPHIE-PRACTICAL METALLOGRAPHY

A Statistical Approach to Material Classification Using Image Patch Exemplars

(2009) M. Varma et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE