1.CNC Tool Failure Detection
scatter plot and bar chart · 2026
A manufacturing process engineer built this dashboard to detect CNC tool failure signatures using accelerometer data, shifting from reactive scrap analysis to proactive monitoring. The scatter plot correlates maximum amplitude with Y-axis kurtosis, separating nominal operations from failures. Good cycles cluster at a high kurtosis of approximately 7.0 with amplitudes above 2000. Bad cycles show a sharp drop to negative kurtosis values (-0.72 to -0.03) and amplitudes below 1000. A cycle length comparison bar chart shows good cycles completing at roughly 60,000 data points, while anomalous cycles prematurely shorten to 40,000-45,000 data points. This allows engineers in electronics contract manufacturing to identify tool disengagement early.
What it shows:
Y-axis dynamics and cycle length anomalies reliably indicate CNC tool disengagement before precision parts are scrapped.
