ADDITIVE LIFE CONSUMPTION MODEL FOR PREDICTING REMAINING TIME-TO-FAILURE OF MACHINES

摘要

A system for predicting time-to-failure of a machine includes one or more processors and a non-transitory, computer-readable storage medium in operable communication with the processors. The computer-readable storage medium contains one or more programming instructions that, when executed, cause the processors to receive or retrieve multivariate time series data observed a plurality of times, and infer a plurality of state variables from the multivariate time series data, each state variable describing an operating condition of the machine at a particular time. The instructions further cause the processor to compute an average life consumption rate by applying a life consumption rate model to the plurality of state variables and time-to-failure for the machine based on the average life consumption rate. The time-to-failure for the machine may then be reported to one or more users.