Self-Aligned Bearing Fault Detection using vibration Signals Analyzed by Spectrum analysis
Author(s):
Rajendra Dattatraya Gaikwad , JSPM,S RAJARSHI SHAHU COLLEGE OF ENGINEERING,TATHAWADE,PUNE; Prof. N. D. Khaire, JSPM,S RAJARSHI SHAHU COLLEGE OF ENGINEERING,TATHAWADE,PUNEKeywords:
Self Aligned Ball Bearing, Signal Analysis Spectrum Analysis, FFT, MATLAB SimulationAbstract:
Over the past decades there have been many major advances in the development of fault diagnosis of deep grove ball bearing and roller bearing had taken placed. in this paper an effort is made to study the performance of Self aligned ball bearings. Self-aligned ball bearings are widely used in industry from home appliances to aerospace industry. Proper functioning of these machine elements is extremely important in order to prevent catastrophic damages. It is therefore, important to monitor the condition of the bearings and to know the severity of the defects before they cause serious catastrophic damages. Hence, the study of vibrations generated by these defects plays an important role in quality inspection as well as for condition monitoring of the self-aligned ball bearing/machine element. This paper describes the vibration analysis technique to detect the defects in the self-aligned ball bearing. The Fast Fourier Transform (FFT) detected the frequencies of damage present during the vibration analysis of a ball bearing. This faults and their related frequency is simulated with MATLAB software.
Other Details:
| Manuscript Id | : | J4RV2I7029 |
| Published in | : | Volume : 2, Issue : 7 |
| Publication Date | : | 01/10/2016 |
| Page(s) | : | 43-47 |
