This dataset is used to develop an algorithm for automatic segmenting the collected signals. When machining a workpiece in a milling process, vibration signals can be recorded by a 3-axis accelerometer, which is attached on the spindle of a CNC milling machine. To segment the recorded signals, a moving window (0.5 sec) is applied to sample the vibration signals and manually labeled the corresponding modes, i.e. dry run or milling, of each window. To verify the algorithm, 3 types of operations are provided and recorded in csv format. 

DOI Link: 
10.21227/bkyw-4g63
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[1] Haw-Ching Yang, "Signal Segmentation for Milling Process", IEEE Dataport, 2020. [Online]. Available: http://dx.doi.org/10.21227/bkyw-4g63. Accessed: Mar. 13, 2025.
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url = {http://dx.doi.org/10.21227/bkyw-4g63},
author = {Haw-Ching Yang },
publisher = {IEEE Dataport},
title = {Signal Segmentation for Milling Process},
year = {2020} }
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T1 - Signal Segmentation for Milling Process
AU - Haw-Ching Yang
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Haw-Ching Yang. (2020). Signal Segmentation for Milling Process. IEEE Dataport. http://dx.doi.org/10.21227/bkyw-4g63
Haw-Ching Yang, 2020. Signal Segmentation for Milling Process. Available at: http://dx.doi.org/10.21227/bkyw-4g63.
Haw-Ching Yang. (2020). "Signal Segmentation for Milling Process." Web.
1. Haw-Ching Yang. Signal Segmentation for Milling Process [Internet]. IEEE Dataport; 2020. Available from : http://dx.doi.org/10.21227/bkyw-4g63
Haw-Ching Yang. "Signal Segmentation for Milling Process." doi: 10.21227/bkyw-4g63