smartdatapolito/resistance_spot_welding_dataset

The dataset contains data about resistance spot welding used for the pubblication: "Fault Prediction in Resistance Spot Welding: A Comparison of Machine Learning Approaches"

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This dataset provides real-world information about resistance spot welding from an automotive production line. It includes voltage, current, and force measurements captured during each weld, along with a label indicating if the weld was faulty or correctly performed. Quality control engineers, manufacturing process analysts, and data scientists in the automotive industry can use this data to develop systems that predict or identify faulty welds.

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Use this if you need to analyze the performance of resistance spot welding and build models to predict welding defects in an automotive manufacturing setting.

Not ideal if you are looking for welding data from different industries or for welding processes other than resistance spot welding.

resistance-spot-welding automotive-manufacturing quality-control defect-prediction production-line-monitoring
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Last pushed

Sep 17, 2024

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curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/smartdatapolito/resistance_spot_welding_dataset"

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