Visual positioning-based microscopic wear failure probability analysis of wet friction component

The wet friction component, as a crucial part of the power transmission system in mechanical equipment, plays an essential role in ensuring the safety and stability of the equipment’s operation. Consequently, its wear failure directly impacts the power transmission, making the study of its microscopic wear failure significant. This study designs a disc-to-disc test and utilises a white light interferometer to scan the interfacial morphology of the friction component. To facilitate this process, the method employs a visual algorithm to precisely locate the scanned area, allowing for the extraction of microscopic failure characteristics of the friction component. In addition, the study constructs the probability density function of the failure parameters using a kernel density estimator, incorporates it into the limit state function, and applies Monte Carlo simulations to evaluate the microscopic failure probability of the friction component. The results indicate that the visual algorithm can accurately locate the overlapping area of the friction component before and after the test, and the failure probability statistical model can precisely calculate the microscopic failure probability of the friction component.