Abstract
Engine maintenance costs account for the largest part of the whole aircraft maintenance costs, for this reason, engine health management was presented. But almost all the researches are focused on diagnostics methods. In this paper, firstly, we analyzed the modes of engine faults, then discussed how to implement engine fault prediction and Remaining Useful Life (RUL) prediction, at last, we chose a SVM-based model to show how to predict wear trend (this belongs to the problem of fault prediction). Engine health management is also the premise of Condition Based Management (CBM) realization.
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