BEARING'S EARLY FAULT DETECTION USING VIBRATION ANALYSIS

Abstract

Over recent decades, predictive maintenance's usage attracted the attention of maintenance specialists in some important industries. Moreover, machinery condition monitoring is an effective indicator for planning the maintenance schedules. Machine monitoring or early detection of incipient fault is an important judgment tool of the machine's health at critical parts such as; gears and bearings. Furthermore, vibration-monitoring process can be achieved by experienced operators using their visual inspection. However, many specialists in maintenance field recommend using the computerized inspection to meet increased demand for the automated monitoring applications and helpful engineering software. This paper deals with condition monitoring of machines in addition to designing machine monitoring assisting tool as software for time saving. This software is presented as fast tool affording instantaneous calculations of bearing fault frequencies for different bearing types. In addition, the presented software can instantaneously calculate the basic dynamic load rating considering bearing rating life.