【作者】 赵玉婷；

【导师】 左洪福；

【作者基本信息】 南京航空航天大学 ， 交通信息工程及控制， 2010， 硕士

【摘要】 作为飞机的“心脏”,航空发动机的健康状态对保证飞行安全和降低航空公司的运营成本则具有重要意义。本文借助丰富的民航发动机性能监测数据信息,以健康管理理论为基础,全面深入的研究了相关的寿命预测模型方法。首先,介绍了民机视情维修的维修概念和研究范畴;对民航发动机的状态监控的主要技术进行了介绍,阐述了发动机寿命预测重要性参数的选取准则;最后分别对DEGT和EGTM参数进行分析,确定使用EGTM进行寿命预测的原因,并介绍了影响EGTM的各种因素。确定了发动机在翼寿命预测的参数。为民用发动机在翼寿命预测做好基础工作。其次,考虑数据质量的问题直接影响发动机寿命预测的准确性,为保证发动机寿命预测的准确性,对发动机性能数据处理方法研究。研究了性能数据采集的内容和采集的途径;分析了数据中存在的质量问题,并提出对采集到的数据的质量的基本要求;接着提出了数据清洗的原理和插值方法,并举例说明清理和差值后的效果。数据的采集和处理为民航发动机寿命预测提供有效的数据支撑。最后,分析了发动机在翼寿命预测的概念、种类、特点,深入研究了民航发动机剩余寿命预测的方法,包括线性回归方法、分段线性回归方法、基于时间序列以及基于布朗运动的寿命预测方法。应用发动机的运行数据进行了预测方法的线性回归、分段线性回归、基于时间序列以及基于布朗运动实例验证。更多还原

【Abstract】 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.更多还原