AI Fault Detection: How It Catches Failures Early

Key Points * AI fault detection identifies developing machine faults by analyzing features of vibration, current, temperature, and acoustic signals, and matching them to the physical signatures of specific failure modes. * Fixed thresholds react to overall signal levels, which often stay normal until a fault is advanced; features such as kurtosis, envelope spectra, and current sidebands change much earlier. * Supervised classifiers name known faults, unsupervised anomaly detection catches un