AI for Predictive Maintenance: How It Works

Key Points * AI predictive maintenance learns how each machine normally behaves and flags changes in its vibration, current, temperature, and acoustic signals long before a fixed alarm threshold would trip. * The core work happens in feature extraction: RMS, kurtosis, and FFT spectra turn raw sensor data into patterns a model can match to specific failure modes such as bearing wear, winding degradation, and cavitation. * ROI comes from converting emergency failures into planned repairs; you