Investigation of Rolling Element Bearings Using Time Domain Features

Abstract

Rolling element bearings can be found widely in domestic and industrial applications. They are important components of most machinery and their working conditions influence the operation of the entire machinery directly. Bearing failures may cause machine breakdown and might even lead to catastrophic failure or even human injuries. In order to prevent unexpected events, bearing failures should be detected as early as possible. Different methods are used for the detection and diagnosis of bearing defects. These techniques can be classified as noise analysis, acoustic measurements, wear debris detection, temperature monitoring, vibration analysis etc. Vibration signals collected from bearings carry detailed information on machine health conditions. This paper deals with a bearing test procedure which based on vibration analysis.