Vibration-based fault detection for rotating machinery
Build a low-cost vibration logger for a motor or pump, detect imbalance, misalignment and bearing faults from frequency spectra, and classify them with machine learning.
Scope
- Mount an accelerometer on a lab motor test rig; record healthy and seeded-fault conditions.
- Extract time and frequency features (RMS, kurtosis, FFT peaks).
- Train a classifier and test it on new recordings.
Why it is valuable
Predictive maintenance is in demand in fertilizer, cement and textile plants around Multan, which makes this a strong project to discuss in interviews.