Title of article
FAULT DIAGNOSIS OF SHAFT- BALL BEARING SYSTEM USING ONE-WAY ANALYSIS OF VARIANCE
Author/Authors
Yuzukirmizi, Mustafa Kirikkale University - Department of Industrial Engineering, TURKEY , Arslan, Hakan Kirikkale University - Dep of Mechanical Engineering, TURKEY
From page
37
To page
49
Abstract
Roller bearing is one of the most widely used and critical elements in rotating machinery. In consequence, bearing fault diagnosis in machines, as well as to discriminate the different fault conditions have been a great interest. In this study, firstly, analytical model of a shaft-ball bearing system is developed. The shaft is assumed to be perfectly rigid and uniform, and supported by two radial ball bearings. Then, the effect of localized defects on bearing running surfaces (i.e. surfaces of inner and outer rings and balls) on the shaft vibrations are obtained using the simulation program. Then, vibration signatures are analyzed by one-way analysis of variance (ANOVA) method. Finally, post-hoc tests are applied to differentiate the ball bearing element s localized defects in shaft-ball bearing simulation model.
Keywords
Ball bearing , Fault diagnosis , One , way analysis of variance
Journal title
mathematical and computational applications
Journal title
mathematical and computational applications
Record number
2569218
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