A New Theory of Damage Estimation and Fatigue Life Prediction


  • Jasim H. AL-Bedhany University of Misan
  • Stanisław LEGUTKO Poznan University of Technology
  • Ali Al-Maliki University of Misan
  • Tahseen Ali Mankhi Poznan University of Technology




fatigue life prediction, Damage estimation, Fatigue test, bearing, premature failure


There are a considerable number of fatigue damage estimation theories and fatigue life prediction of mechanical components. The most popular one is Palmgren-Minor (P-M) theory. This theory has been used in the standards for selecting the bearing –as a component subject to fatigue loading- and for expecting the bearings lives. In Wind Turbine Gearboxes (WTGs), the bearings were selected to be without maintenance for 20 to 25 years; however, in real service life, the bearing suffer from premature failure within a life span of quite less than the design life (1 to 5 years). A new applicable methodology and a procedure of calculation for damage estimation due to fatigue loading and predicting the life has been suggested and tested.  Results of 20 rolling and sliding tests which conducted under severe contact loading are used to test this method. The suggested method depends on calculating the number of operating cycles under a specific contact loading level to an equivalent number of loading cycles under the average loading level. This method depends on the area under the S-N curve without any correction or loading factors and can be used to predict the WTG bearings failure to manage the maintenance because the current life prediction standards have very high percentages of error (> 400%). The reliability of this approach can be further verified by utilizing actual operational data from Supervisory Control and Data Acquisition (SCADA), used for overseeing wind turbine operations. Additional examinations are necessary to confirm the dependability of this novel method.




How to Cite

AL-Bedhany, J., LEGUTKO, S. ., AL-Maliki, A., & A. Mankhi, T. (2023). A New Theory of Damage Estimation and Fatigue Life Prediction. Misan Journal of Engineering Sciences, 2(2), 1–11. https://doi.org/10.61263/mjes.v2i2.26