Estimating Remaining Useful Life from Vibration Signals
Most equipment failures don't happen overnight; they are preceded by a measurable degradation process. By capturing and modeling this signal, you can move from costly, reactive repairs to a proactive and efficient maintenance strategy.
This presentation uses a real-world example of a wind turbine bearing to show you how it's done. Learn how we harness raw vibration data and a simple exponential degradation model to forecast the bearing's Remaining Useful Life (RUL).
