Abstract: A predictive maintenance alerting device (40) comprises a server computer (42) operatively connected with an electronic in network (46) to receive time stamped machine log data (30) and time stamped service log data (32) from a medical imaging device (10), and to transmit maintenance alerts (44) to a service center (12). The predictive maintenance alerting method includes deriving features from the received log data, and applying a set of models (64) of component groups to the derived features to generate the maintenance alerts. Each model may comprise a heterogeneous model including a machine learned analytical model (70) representing the component group with embedded statistical remaining useful lifetime models (72) of the components of the component group. Each component may belong to a single component group. Some derived features may be built failure mode features or built failure resolution features.