A Reliability Model for Induction Motor Ball Bearing Degradation

Abstract

In this study a reliability model of accelerated aging processes applied to motor bearings is presented. For this purpose, bearing damage is created through several accelerated aging processes for 5 HP induction motors, and motor vibration signals are examined by statistical and spectral analysis techniques. In this sense standard deviation values of the considered signals are determined as the most effective statistical parameter in reflecting the bearing degradation behavior. A new definition, which indicates the reliability level of the bearing, is given as a correlation degree defined between the initial case and any aged case. This relationship is used to establish the reliability model of motor bearing degradation through the exponential variation of the standard deviation for the overall process.