Research On Methods Of Life On Wing Prediction For Civil Aeroengine

By way of airplane heart, the health of aero engines has important signification for the safe of airplane and the decrease of operation cost. This paper based on the rich civil aviation engine performance monitoring data information to health management theory as a foundation, further comprehensive study the relevant life prediction model method.First of all, introduced the Condition Based Maintenance concept and research category, introduced the main technology of condition monitoring for civil aviation engine. Finally, analysis the parameters of DEGT and EGTM, and make sure the reasons to use EGTM as the parameters of life prediction.Next, consider the data quality problems directly affecting the accuracy of the engine life prediction, and in order to ensure the accuracy of the engine life prediction, engine performance data processing method is studied in this paper. At the same time, the paper studied the content and means of performance data collection and data quality problems, and proposed the basic requirements of quality in data collection; then proposed the data cleaning theory and interpolation methods, and examples was given to show the effect of difference after the data cleaning and interpolation . Data collection and processing provide effective data support to the engine life prediction.Finally, the paper analyzed the concept, types, characteristics of engine life prediction, and studied of the civil aviation engine remaining life prediction methods, including linear regression, piecewise linear regression method, based on time series and life prediction based on Brownian motion methods. Numerical examples are given which illustrate the effectiveness of the life prediction approach.