发动机水洗流程优化及决策的研究

发布时间：2018-08-22 07:54

【摘要】：发动机使用维护中的可靠性分析研究,对航空公司安全运营具有重要意义。相对于活塞发动机,大涵道比涡轮风扇发动机的推重比更高,高速飞行状态下燃油经济性更好,空气的流通量更大,风扇与压气机等核心机部分也容易受到空气中灰尘的影响,容易形成叶片积垢等问题。目前,航空公司广泛采用水洗来解决因积垢引起的发动机气路性能衰退问题,实践证明了其易操作和效果显著,但是水洗效果的评估、水洗效果影响因素的分析和水洗效果的预测及水洗决策方面还有待进一步深入研究。为解决上述问题,论文针对航空发动机水洗中存在的问题开展研究,优化了水洗流程,对发动机水洗的效果进行了评估;利用支持向量机理论(SVM)对水洗的效果进行预测,便于水洗工作计划的制定;基于VB.net编程和SQL server数据库技术,开发了发动机水洗信息管理及效果预测系统。主要研究内容:首先,文章针对航空公司发动机水洗当中存在的问题,利用六西格玛管理工具,对水洗的流程进行分析,从强化维修人员的培训和规范设备使用方法等角度,优化发动机水洗流程;其次,论文对发动机监控数据进行了去粗大误差、平滑处理和归一化等数据预处理,提高了分析精度,在数据挖掘的过程中,运用回归分析法,分析水洗对在翼时间和燃油经济性的影响,评估了发动机水洗效果;然后,论文基于支持向量机理论(SVM),挖掘了发动机水洗前所处的状态和水洗后的效果之间的关系,建立了发动机典型参数和水洗效果之间的映射模型,对水洗效果进行了预测,进行水洗的决策,便于水洗工作计划制定;最后,论文基于VB.net编程和SQL server数据库技术,开发了发动机水洗信息管理及预测系统,可实现水洗数据的存档管理、性能趋势分析、水洗效果预测等功能。
[Abstract]:The reliability analysis and research in engine operation and maintenance is of great significance to the safe operation of airlines. Compared with a piston engine, large ducts have a higher push-weight ratio than turbo fan engines, fuel economy is better at high speed flight, air flux is larger, and some core engine parts, such as fans and compressors, are also vulnerable to the influence of dust in the air. Easy to form blade fouling and other problems. At present, airlines widely use water washing to solve the problem of engine performance degradation caused by fouling. Practice shows that it is easy to operate and has remarkable effect, but the effect of washing is evaluated. The factors influencing the washing effect, the prediction of the washing effect and the washing decision need to be further studied. In order to solve the above problems, the paper studies the problems existing in aero-engine washing, optimizes the washing process, evaluates the effect of engine washing, and predicts the effect of water washing by using support vector machine (SVM) theory. Based on VB.net programming and SQL server database technology, an engine washing information management and effect prediction system is developed. Main research contents: firstly, aiming at the problems existing in aeronautical company engine washing, the paper analyzes the process of water washing by using six Sigma management tools, from the angle of strengthening the training of maintenance personnel and standardizing the use of equipment, etc. Secondly, the paper preprocesses the engine monitoring data such as removing the gross error, smoothing and normalizing, so as to improve the analysis accuracy. In the process of data mining, regression analysis method is used. The effect of water washing on wing time and fuel economy is analyzed, and the effect of engine washing is evaluated. Then, based on the support vector machine theory (SVM), the relationship between the status of the engine before washing and the effect after washing is explored. The mapping model between engine typical parameters and washing effect is established, the washing effect is predicted, and the washing decision is made to make the washing work plan easily. Finally, the paper is based on VB.net programming and SQL server database technology. An engine washing information management and prediction system is developed, which can realize the functions of archival management of washing data, performance trend analysis, water washing effect prediction and so on.
【学位授予单位】：中国民航大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：V263.5

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