Comparison Analysis Through Condition Monitoring for Fault Detection of Bearing in Induction Motor

Abstract

In Industries, maintenance is an important activity to keep the equipment in a healthy condition. Condition-based maintenance (CBM) is a proactive maintenance technique that helps to fault diagnose of a machine system in running condition. This program is carried out in three steps: (i) detection; (ii) analysis; and (iii) correction. In CBM techniques, vibration analysis plays a vital role in identifying problems. The objective of this paper is to perform a comparison analysis of newly replaced bearings and corrected misaligned shaft for 630 kW induction motor with already existing healthy condition induction motor. This is done by vibration monitoring technique using fast Fourier transform (FFT) analyzer. The main attraction of this technique is that it can be performed even while the equipment is in normal working condition, thus saving precious downtime and avoiding production loss. This technique helps in diagnosing motor health by taking readings on drive end and non-drive end for both motors. By placing the accelerometer sensor in the tri-axial direction of motor vibration, data is obtained. These are in amplitude and time waveform signals and are collected at full load condition. This comparison analysis is a technique that helps to know the motor health condition. The obtained results are encouraging and identified the motor rolling bearing health status in running condition.