Abstract: Systems and methods are disclosed for predicting a remaining useful life of a component. One method comprises receiving, by a component prediction system, one or more component data sets associated with one or more components of a moving object. Based on the received one or more component data sets, environmental and operational conditions experienced over a lifetime of each failed component may be identified and summarized. Then, the effects of the environmental and operational conditions on a lifetime of a component of interest may be determined by training an accelerated failure time model using the summarized environmental and operational conditions. Using the trained accelerated failure time model, a remaining useful life of the component of interest may be determined.

Abstract: Systems and methods are disclosed for predicting a remaining useful life of a component. One method comprises receiving, by a component prediction system, one or more component data sets associated with one or more components of a moving object. Based on the received one or more component data sets, environmental and operational conditions experienced over a lifetime of each failed component may be identified and summarized. Then, the effects of the environmental and operational conditions on a lifetime of a component of interest may be determined by training an accelerated failure time model using the summarized environmental and operational conditions. Using the trained accelerated failure time model, a remaining useful life of the component of interest may be determined.