Yuzukirmizi M.Arslan H.2020-06-252020-06-252014Yüzükırmızı, M., Arslan, H. (2014). Fault diagnosis of shaft- ball bearing system using one-way analysis of variance. Mathematical and Computational Applications, 19(1), 37 - 49.1300686Xhttps://hdl.handle.net/20.500.12587/2376Roller 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.eninfo:eu-repo/semantics/openAccessBall bearingFault diagnosisOne-way analysis of varianceArticle19137492-s2.0-84902009347N/A163012