... stainless-steel samples in different stages of fatigue can be classified into broad fatigue categories, i.e., low fatigue, mid fatigue, and high fatigue based on the remaining useful life of the sample. The Barkhausen effect consists of discontinuous changes in magnetic flux density, known as Barkhausen...

...–frequency combination for fatigue monitoring of selected lap-joint specimens. Further, a hybrid data-driven damage propagation model is used to estimate the remaining useful life in the bond line. The developed techniques were successfully implemented and validated on a single lap joint under fatigue...

... neighbor (KNN) classifier is implemented. The KNN model performance is assessed by constructing receiver operating characteristics (ROC) curve, which indicates the value of area under the curve (AUC) equal to 0.94, representing high accuracy of the KNN. The remaining useful life (RUL) is predicted within...

... of the data-driven damage model on the simulated mechanical response of the geometries considered and provide an information workflow that is capable of coupling experiments with simulations that can be used for remaining useful life (RUL) estimations. 1 Corresponding author. Moreover, it is worth...