BEARING'S EARLY FAULT DETECTION USING VIBRATION ANALYSIS

Résumé fourni par la source

Over recent decades, predictive maintenance's usage attracted the attention ofmaintenance specialists in some important industries. Moreover, machinery conditionmonitoring is an effective indicator for planning the maintenance schedules. Machinemonitoring or early detection of incipient fault is an important judgment tool of themachine's health at critical parts such as; gears and bearings. Furthermore, vibrationmonitoringprocess can be achieved by experienced operators using their visualinspection. However, many specialists in maintenance field recommend using thecomputerized inspection to meet increased demand for the automated monitoringapplications and helpful engineering software.This paper deals with condition monitoring of machines in addition to designingmachine monitoring assisting tool as software for time saving. This software ispresented as fast tool affording instantaneous calculations of bearing faultfrequencies for different bearing types. In addition, the presented software caninstantaneously calculate the basic dynamic load rating considering bearing ratinglife.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.