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The Use of Bearing Currents and Vibrations in Lifetime Estimation of Bearings

Electric discharge machining current causes a significant amount of damage to bearings, producing pits in the rotating elements of the bearing, and ultimately leading to bearing failure. Although this relationship is well known and studied, little work has been done to relate bearing current discharge events to bearing vibrations for bearing failure prognosis. This paper proposes both experimental and computational approaches for remaining useful life (RUL) estimation of bearings by taking advantage of the relationship between current discharge events and the vibration signal. A test bed, which induces accelerated aging via applied electrical stress, is introduced to better understand the relationship between bearing currents, vibrations, and failure. Over the course of the experiments, multiple sensor data are collected from start to failure in order to correlate current data as well as vibration data to bearing failure. Finally, a computational framework that determines critical events from the current discharge events and uses the timing of these events to estimate RUL from vibration data is proposed.