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Predictive Maintenance
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Predictive Maintenance
- Field NotesMay 11, 2026
When the $240 pilot graduates
The mid-range step — a real industrial accelerometer on an NXP i.MX 8M Plus carrier — and the moment in-house ML stops being cheaper than a vendor service.
Issue 02 ran a $240 edge-ML bench on a 1995 spindle. Issue 03 is the next hop: industrial IEPE accelerometers on an NXP i.MX 8M Plus carrier with a hardware NPU. BOM $2,847, inference latency 4 ms, recall 96%. The build is real. The harder question is when it stops being cheaper than a vendor service like Augury or Sight Machine — and the answer is sharper than I expected.
Edge Ml·Anomaly Detection·Imx8m Plus·Iepe Accelerometer·Predictive Maintenance·Augury - Field NotesMay 4, 2026
The $240 spindle retrofit
An edge-ML anomaly bench on a twenty-year-old spindle motor — exact BOM, exact data pipeline, exact failure modes.
Last week's scorecard ranked Edge Impulse on the Arduino Opta the highest-floor pilot in the AI-on-the-PLC category. This week the bench. Total BOM $238.94, two days of data capture, three failure-mode labels, GMM model running 23 ms inference. What worked, what didn't, and the four mistakes that nearly killed the pilot.
Edge Ml·Anomaly Detection·Arduino Opta·Edge Impulse·Spindle·Predictive Maintenance