ROLLING ELEMENT BEARING FAULT DIAGNOSTIC SYSTEM

Abstract

Machine condition monitoring (MCM) is always been challenging and most important task for engineers / scientist. As there are some parameters from which medical doctor can easily tells about the health of human being and cure, similarly engineers / scientist are more interested in the health of machine. They want that before any major break down they can easily detect and predict the fault in machine. There are different major components and parts of machine like gears, piston, shaft, pulley etc. and defect in one of them can create catastrophic failure and result in major down time. Among all the above component one of the most critical component is bearing. Bearings are the most common components and are used in almost every machine. The purpose of this thesis was to create a software and methodology to easily detect the faults in rolling element bearing before complete breakdown. The software must be able to detect the fundamental faults of rolling element bearing