关键词: 发动机故障, 多参数, 灰色预测, 预测模型

Abstract: The aero-engine faults often characterize as a variety of feature signal, and the same characteristic signal may also reflect the different faults. But the traditional aero-engine fault prediction methods based on grey theory have not sufficient accuracy to fulfill the engineering requirement because only one characteristic parameter is considered or several characteristic parameters are considered in isolation. This paper analyzes a certain aero-engine faults, and a multi-parameter prediction model is proposed based on the idea of grey forecast model and information fusion. Using this model, the relevant parameters of time-series can be not only to provide for their own forecast information but also to provide the necessary information for the others, so the accuracy of the forecast is improved. Finally, a good forecast effect is given through an aero-engine fault prediction example, the obtained results show that the model is availability.

Key words: aero-engine fault, multi-parameter, grey prediction, prediction model