Residual-Life Prediction for Civil Aviation Engines Based on Wiener-Einstein Process

This paper makes study of the civil aviation aircraft engine. Real-time condition monitoring is becoming an important tool in maintenance decision-making. To make effective use of condition information, it is useful to characterize a device degradation signal, a quantity computed from condition information that captures the current state of the device and provides information on how that condition is likely to evolve in the future. In this paper, we develop the residual-life prediction method to current degradation signals by using the characteristic of Wiener-Einstein Process. We apply these degradation and residual-life models to degradation signals obtained through the PW4000 engine fleet application in an airline. The result illustrates the precision and validity of this method which could support the engine CBM decision-making.