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Remaining useful life (RUL) prognostics is a fundamental premise to perform conditionbased maintenance (CBM) for a system subject to performance degradation. Over the past decades, research has been conducted in RUL prognostics for aeroengine. However, most of the prognostics technologies and methods simply base on single parameter, making it hard to demonstrate the specific characteristics of its degradation. To solve such problems, this paper proposes a novel approach to predict RUL by meansdoi:10.1016/j.cja.2014.08.013 fatcat:uurmomvsrrhzrnmxgrb4imgrrq