Presents compendium of Remaining Useful Life (RUL) estimation methods and technologies used in predictive maintenance. Describes different approaches and prognosis methods for different assets. Includes comprehensive compilation of methods from model based, data driven to hybrid. Discusses benchmarking of RUL estimation methods according to accuracy an uncertainty depending on the target application, type of asset and forecast performance expected. Contains toolset of methods and way of deployment aimed at versatile audience.