Abstract

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.

Instructions:

Domain: milling process

Signal source: accelerometer

Sampling rate: 2048 Hz

Target: signal segmentation

Operations:

EXP_Drill:

Spindle Speed (rpm): 2300
Feed Rate (mm/min): 190
Workpiece Material: SUS316
Ap (mm): 10
Ae (mm): 8.6
Tool Type: Drill
Tool Diameter (mm): 8.6
No. of Flutes: 2
No. of Files: 15

2.EXP_ISO

Spindle Speed (rpm): 6000
Feed Rate (mm/min): 1500
Ap (mm): 5
Ae (mm): 5
Workpiece Material: AL6061
Tool Type: Milling
Tool Diameter (mm): 10
No. of Flutes: 3
No. of Files: 2

3.EXP_Square

Spindle Speed (rpm): 1600
Feed Rate (mm/min): 320
Workpiece Material: FDAC
Ap (mm): 1
Ae (mm): 5
Tool Type: Milling
Tool Diameter (mm): 10
No. of Flutes: 4
No. of Files: 8

Total files: 25

File format: csv

Description of fields in each file

Timetag: tagging sequence per 0.5 sec
Segmentation: 0: dry run, 1: milling
Rawdata_X_1 ~ Rawdata_X_1024: vibration signals of axis X recorded at sampling rate 2048 Hz. It means the data collected in 0.5 sec.
Rawdata_Y_1 ~ Rawdata_Y_1024: vibration signals of axis Y.
Rawdata_Z_1 ~ Rawdata_Z_1024: vibration signals of axis Z.

Dataset Files

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Open Access

Signal Segmentation for Milling Process

Abstract

Dataset Files

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