Quality Control

Optimal Placement of Programmable Tooling Machines Considering Hierarchical Structure via Sparse Learning for Multistage Assembly Processes
End-of-line product dimensional quality assurance is crucial in multistage assembly processes (MAPs). Active control strategies involve …
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Anomaly Detection for Fabricated Artifact by Using Unstructured 3D Point Cloud Data
This paper proposes a novel Bayesian network-based methodology for anomaly detection in fabricated artifacts using unstructured 3D point cloud data. The approach addresses challenges such as nonexistence of global coordinate ordering, variant anomaly patterns, and the presence of outliers.
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A Tensor Voting-Based Surface Anomaly Classification Approach by Using 3D Point Cloud Data
This paper proposes a tensor voting-based approach for classifying surface anomalies on artifacts using 3D point cloud data, addressing challenges such as complex data representation, high dimensionality, and inconsistent point sizes.
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