Research on remaining useful life prediction of abrasive belt for the rail grinding

Abstract

This study presents an in-depth analysis and prediction of the remaining life of abrasive belts under varying process parameters, based on the identification of their current wear status. A comprehensive approach combining theoretical insights and experimental methodologies was employed to investigate the wear patterns of abrasive belts throughout their entire lifecycle, as well as the influence of process parameters on belt wear. This led to the establishment of a quantitative wear rate model for abrasive belts. Utilizing this model, a abrasive belt wear process model was developed, incorporating Monte Carlo simulation methods to calculate the belts' remaining life. To further enhance the precision in monitoring the wear status and predicting the remaining life of the abrasive belts, this research integrates particle filtering techniques with the wear status monitoring model developed in the preceding chapter. The effectiveness and accuracy of the combined model were assessed and validated through experimental data, providing a significant contribution to the field of predictive maintenance and wear analysis in industrial applications.