Fault Diagnosis of Shaft- Ball Bearing System Using One-Way Analysis of Variance
1
Department of Industrial Engineering, Kirikkale University, 71450, KIRIKKALE, Turkey
2
Dep. of Mechanical Engineering, Kirikkale University, 71450, KIRIKKALE, Turkey
*
Authors to whom correspondence should be addressed.
Math. Comput. Appl. 2014, 19(1), 37-49; https://doi.org/10.3390/mca19010037
Published: 1 April 2014
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
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MDPI and ACS Style
Yuzukirmizi, M.; Arslan, H. Fault Diagnosis of Shaft- Ball Bearing System Using One-Way Analysis of Variance. Math. Comput. Appl. 2014, 19, 37-49. https://doi.org/10.3390/mca19010037
AMA Style
Yuzukirmizi M, Arslan H. Fault Diagnosis of Shaft- Ball Bearing System Using One-Way Analysis of Variance. Mathematical and Computational Applications. 2014; 19(1):37-49. https://doi.org/10.3390/mca19010037
Chicago/Turabian StyleYuzukirmizi, Mustafa, and Hakan Arslan. 2014. "Fault Diagnosis of Shaft- Ball Bearing System Using One-Way Analysis of Variance" Mathematical and Computational Applications 19, no. 1: 37-49. https://doi.org/10.3390/mca19010037
