Motor vibration condition monitoring with an industrial Raspberry Pi and FFT

Mechanical faults can change a motor's vibration signature before the equipment stops. Trend monitoring offers a practical starting point for maintenance teams.

Watch the demo

PiLink — Failure Prediction System Demonstration (Vibration)

PiLink demonstrates an industrial Raspberry Pi PL-R4 and accelerometer in a wireless configuration, including acceleration waveforms, FFT, trends, measurement triggers and alerts.

A realistic small-scale deployment

Instrument one or two critical motors or pumps. Establish baseline measurements across normal speeds and loads, then monitor changes over several weeks.

FFT converts time-domain vibration measurements into frequency components. Interpreting them still requires machine specifications and on-site verification.

Engineering checks

Sensor mounting, sampling frequency, noise and rotation speed matter. Condition monitoring is not a guarantee of accurate time-to-failure predictions.

Source: PiLink — Failure Prediction System Demonstration (Vibration), February 4, 2025.

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Cover is sourced from the original PiLink vibration demo page: https://pilink.jp/en/condition-monitoring_demo1/