Abstract: The present disclosure is directed to systems and methods for wear prediction of an undercarriage of a target machine. The method includes (1) receiving wear measurements from a plurality of source machines, and the wear measurements are associated with a first set of components of undercarriages of the plurality of source machines; (2) establishing a statistical model based on the received wear measurements and physic-based features derived from the wear measurements; (3) determining coefficients for the statistical model at least partially based on inspection data of a second set of components of the undercarriage of the target machine; and (4) predicting a wear condition of the undercarriage of the target machine by the statistical model and the coefficients.