Parametric vibration Analysis of Rotating Machinery

被引:4
作者
Khadersab, A. [1 ]
Shivakumar, S. [2 ]
机构
[1] Gogte Inst Technol, Dept Mech Engn, Belagavi 590008, India
[2] Gogte Inst Technol, Dept I & PE, Belagavi 590008, India
关键词
Ball bearing; Rotating Machinery; Parametric vibration Analysis; ROLLING ELEMENT BEARINGS; PREDICTIVE MAINTENANCE; DEFECTS; MODEL;
D O I
10.1016/j.matpr.2018.11.010
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In rotating machinery, the most extensively used element is the rolling bearing element around 90%. Based on the size speed and lubrication technique the classification of the bearing is done. The premature failure of this rolling bearing element is most common and the factors are countless. A very small percentage of these bearings are able to work for full life span provided with operating condition subjected. For all the types of defects in bearings can be studied and characterized by vibration spectrums. In the different types of measurement technique for detecting, the defects in the bearings vibration signature play prominent role. In this paper, a new parametric Analysis of ball bearing in rotating machinery with respect to vibration spectrum is carried out for that an experimental test rig is designed considering the outer race defect in the ball bearing. For these the vibration spectrum obtained for the test ball bearing based on the time and frequency domain is parametrically studied under radial load and constant speed. And these parametric data obtained from the vibration signatures measured for the different time span, is used as statistics for accurate assessment of bearing failure with respect to time and ascertain the exact defect locations in outer race of the bearings. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:25688 / 25696
页数:9
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