Systems, methods, and computer program products for remaining useful life prediction. Operational data is collected from a test machine (14) until a component fails, and a training dataset generated from the operational data. The training dataset is used to define and validate a prediction model (54). Operational data received from one or more field machines (14) is provided to the prediction model (54). The prediction model (54) then predicts the remaining useful life of the component of the field machine (14). To reduce the time-to-failure of the component in the test machine (14), the component may be repeatedly subjected to an accelerated wear cycle (88). The prediction model (54) may be defined by extracting features from the training dataset. Like features may be extracted from the field dataset and provided to the prediction model (54) as part of the prediction process (100). The operational data received from the field machines (14) may be used to generate an updated prediction model (54).