Dataset for "Filament Type Recognition for Additive Manufacturing Using a Spectroscopy Sensor and Machine Learning"
收藏DataCite Commons2025-03-03 更新2025-04-17 收录
下载链接:
https://researchdata.bath.ac.uk/id/eprint/1501
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资源简介:
The file contains data collected from three sensors: AS72651, AS72652, and AS72653. Each of these sensor-specific files includes three folders representing different measurement distances: 12mm, 16mm, and 20mm. These folders contain data collected from 12 different filaments. Additionally, there is data recorded without a filament, labeled as "no_object." The following example of organizational structure is consistent across all filament data.
Folder : AS72651 ->12mm->first measurement: abs_carbonfiber1.csv
->second measurement: abs_carbonfiber2.csv
->third measurement: abs_carbonfiber3.csv
->three measurements together: abs_carbonfiber.csv
Each collected dataset is stored in CSV format. The data can be utilized for filament recognition using machine learning models, enabling the identification of different filament types based on sensor measurements.
提供机构:
University of Bath
创建时间:
2025-03-03



