Vibration Response-Based Fault Diagnosis of Cylindrical Roller Bearing Using Response Surface Methodology

Abstract

Abstract Bearing defects are major causes for rotary machine breakdown; hence, the dynamic behavior of bearing is crucial and important. This paper aims to present the dynamic response of bearing due to various localized defects. To study the parametric effect, three factors such as load, speed, and defect size are chosen. The Box–Behnkan method has been used to get trials to plot response surfaces. A bearing test rig has been used for experimentation with high speed, which is capable of high loading to introduce and simulate industrial application environment. Vibration and torque data have been acquired using high-precision sensors and data acquisition system. Fast Fourier transform (FFT) vibration peak and torque peak-to-peak (P2P) have been taken as the output parameter. It is observed that speed has a significant effect on both outputs and affects the bearing performance more than load. Response surfaces show that a change in load has less impact on vibration amplitude, while small variation of speed considerably increases vibration values. On the other hand, both parameters, load and speed, has a strong impact on peak-to-peak torque.