Learn More
—Failure prognosis plays an important role in effective condition-based maintenance. In this paper, we evaluate and compare the hard failure prediction accuracy of three types of prog-nostic methods that are based on mixed effect models: the degradation signal based prognostic model with deterministic threshold (DSPM), with random threshold (RDSPM), and the(More)
In this paper, a statistical prognostic method to predict the remaining useful life (RUL) of individual units based on noisy condition monitoring signals is proposed. The prediction accuracy of existing data-driven prognostic methods depends on the capability of accurately modeling the evolution of condition monitoring (CM) signals. Therefore, it is(More)
  • 1