• 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