Predictive Intelligence: Vibration Analysis & Diagnostics

Machines age, wear, and fail—often in predictable ways. This course teaches the physics and patterns behind machinery failures (wear, fatigue, bearings/seals) and maps them to the signals you can measure. You’ll learn to deploy predictive maintenance (PdM) techniques—vibration, thermography, ultrasonics, and tribology—so you can detect faults early, plan interventions, and avoid catastrophic breakdowns.
With a strong emphasis on vibration analysis, you’ll practice spectrum interpretation (FFT), demodulation/enveloping, high-frequency detection, and resonance identification/cure. We’ll connect diagnostics to reliability methods (Weibull/statistics) and show how to integrate PdM into your maintenance plan, complete with alarm strategies, reporting, KPIs, and cost/benefit tracking.
By the end, you’ll have a practical framework and toolset to build or upgrade a predictive maintenance program that’s technically sound, economically justified, and operationally sustainable.