2026-10-12T11:44:43Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33820735 2026-09-15T19:58:12Z portal_1197 item_type_3 month_year_09_2026

Point cloud object shape error datasets for root cause analysis of multi-station assembly systems Sumit Sinha (11414360) Pasquale Franciosa (14392549) Dariusz Ceglarek (14392546) Neural networks (Computer science) Deep learning (Machine learning) Assembly-line methods Migrated from ePrints Data record consists of a single zip archive containing the raw data. The dataset consists of supervised shape error datasets (point clouds) and corresponding process parameters. It is generated using the Variation Response Method (VRM) kernel. The dataset can be used for training deep learning frameworks to test performance for Root Cause Analysis (RCA) of Multi-Station Assembly Systems. The python library for implementation of the work can be found at this link: https://github.com/sumitsinha/Deep_Learning_for_Manufacturing 2026-09-15T19:58:12Z Dataset Dataset 10.82444/warw.33820735.v1 https://figshare.com/articles/dataset/Point_cloud_object_shape_error_datasets_for_root_cause_analysis_of_multi-station_assembly_systems/33820735 CC BY 4.0