Vibration analysis in case of bearing motor defected by piezoelectric sensor

Abstract

Bearing is a tool for machinery’s friction reduction. Once the installation of the bearing completes, it would be functional until its deterioration before the use of the new bearing. Most importantly, a bearing is irreparable. Since the bearing is the major component of the motor, the bearing faults could affect the efficiency and operation. By detecting the bearing faults from its vibration before fatal damage occurs, the motor’s maintenance cost will be cheaper, the maintenance life will be longer, and there would be an improvement of its efficiency. This research article proposes the measurement of capacitor start motor at 1/4 horsepower’s vibration by using the vibration detection tool called piezoelectric with Data Acquisition DEWE 43 in case of mechanical loads, the absence of mechanical loads on the five pairs of bearing, and the case study on the analysis of five ventilators on their split phase motor at 1/4 horsepower. Then, the data would process through the frequency analysis on the Fast Fourier Transform by using Dewesoft 7.0 and MATLAB compared to the standard ISO 10816-1. The results would indicate the faults of bearing for predictive maintenance.