Dynamic modeling of bearings has been proven as an effective tool for investigating the behavior of bearings under various operating conditions. These models offer valuable insights that are not easily attainable through direct experimentation, including information about internal forces and the positions of rolling éléments[1][2]. By simulating faulty bearings, researchers can comprehensively examine the impact of defect shapes on the dynamic behavior of bearings. Understanding the correlation between defect severity and observable outcomes, such as outer ring vibrations, is crucial for the development of diagnostic techniques aimed at assessing bearing conditions during operation[3]. This study presents a comprehensive analysis of two types of defect geometries incorporated into a previously validated deep-groove dynamic model. The first type of defect incorporated to the model is an enhanced spall model, which represents the entrance and exit of the spall as linear-like slopes (figure 1). As the spall propagates the geometry of the defect changes. The slope of the exit and entrance would be affected by the detached chip and the accumulated plastic deformation[4]. Different slope angles may affect the bearing dynamics due to the direction and size of the normal force generated when the ball hits the defect. For example, at mild exit slopes the normal direction has a relatively large radial component that does not resist the tangential movement of the ball as much as a steep slope would. Therefore the material would experience less stress and is expected to deteriorate slower. By simulating spalls with varying angles, it is possible to further research their effects on the overall bearing dynamics