Abstract: System and methods are provided for empirical analysis of remaining life in electromechanical devices. Sensors are positioned to generate signals representing sound energy emitted by devices, and digital sound data are stored corresponding thereto. The system classifies sound characteristics and their corresponding impact on wear rate over time via recurring analysis of the stored sound data. For a selected device, a wear state is estimated based on a comparison of current sound energy emitted therefrom with respect to sound data for a comparable group of electromechanical devices, and it may be ascertained whether certain classified sound characteristics are present in digital sound data corresponding to the selected electromechanical device. Output signals are selectively generated based on the estimated wear state and/or classified sound characteristics ascertained to be present, e.g.