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一种云环境下的发动机健康管理系统及其应用
引用本文:周利敏,闫国华,瞿红春.一种云环境下的发动机健康管理系统及其应用[J].应用声学,2014,22(12).
作者姓名:周利敏  闫国华  瞿红春
作者单位:中国民航大学,中国民航大学,中国民航大学
基金项目:中央高校基本科研业务费资助项目
摘    要:针对航空公司对大量飞机发动机进行健康管理的需求,通过建立发动机健康管理云端数据中心,建立了一种云环境下的民航发动机健康管理系统,该系统对于验证发动机故障诊断方法的有效性具有突出优势,并且对于实现多种方法协同进行发动机故障诊断具有重要价值;提出了一种基于灰色关联分析的灰色故障识别方法,通过在云端平台使用灰色故障识别方法实现JT9D-7R4发动机的典型气路性能故障诊断为例,表明云环境下的发动机健康管理系统可以有效地进行航空发动机故障诊断。

关 键 词:云计算  发动机健康管理系统  故障诊断  灰色关联分析
收稿时间:2014/5/15 0:00:00
修稿时间:6/9/2014 12:00:00 AM

An engine health management system in cloud and its applications
Yan Guohua and Qu Hongchun.An engine health management system in cloud and its applications[J].Applied Acoustics,2014,22(12).
Authors:Yan Guohua and Qu Hongchun
Institution:Civil Aviation University of China,Civil Aviation University of China,Civil Aviation University of China
Abstract:For the demand of airlines to manage the health conditions of large number of aircraft engines, based on the establishment of engine health management cloud data center, a cloud-based civil engine health management system was established; The system is of outstanding advantages for verifying the validity of the engine fault diagnosis methods, and also of important value for realizing collaborative analysis with a variety of methods in engine fault diagnosis. Finally, a grey fault recognition method based on grey incidence analysis was proposed, by the example of using grey fault recognition method to implement the typical gas path performance fault diagnosis of JT9D-7R4 engines in the cloud platform, it was indicated that the engine health management system in cloud is effective in the aero-engine fault diagnosis.
Keywords:cloud computing  engine health management system  fault diagnosis  grey incidence analysis
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