Individual Feature Selection of Rolling Bearing Impedance Signals for Early Failure Detection

Condition monitoring of technical systems has increasing importance for the reduction downtimes based on unplanned breakdowns. Rolling bearings are a central component machines because they often support energy-transmitting elements like shafts and spur gears. Bearing damages lead to high number machine breakdowns; thus, observing these potential reduce downtimes. The observation is challenging since their behavior in operation cannot be investigated directly. A common solution this task measurement vibration or temperature, which able show an already occurred bearing damage. Measuring electrical impedance situ ability gather information about revolution speed loads. Additionally, measuring allows detection localization bearing, as early research shown. In paper, signal five fatigue tests using individual feature selection. analyzed explained. It shown that three different operational time phases can distinguished via analysis features. Furthermore, some features significant change prior occurrence initial before signals test rig vary from normal state.