基于小波-Hilbert的涡喷发动机静电监测技术研究  

Research on Electrostatic Monitoring Technology of Turbojet Engine Based on Wavelet-Hilbert

作　　者：刘鹏鹏[1] 左洪福[1] 余有峰 王璐璐[2] 

机构地区：[1]南京航空航天大学民航学院 [2]北京航空工程技术研究中心

出　　处：《航空制造技术》2014年第12期74-77,82,共5页Aeronautical Manufacturing Technology

基　　金：国家自然科学基金;中国民航联合资助基金重点项目(60939003)资助

摘　　要：在某型涡喷发动机试车过程中首次开展了气路静电监测试验,获取了若干试车阶段静电信号。选用第102阶段(发动机处于健康状态)监测的静电信号进行时域特征分析,获取了发动机处于启动、巡航、停车3个典型工况下时域幅值以及活动率水平、正负事件率特征参数的变化情况,分析表明静电信号会随发动机工况变化而变化。为了进一步揭示静电信号特征,采用小波-Hilbert变换方法处理了第102阶段的静电信号,获取了其能量值、能量分布以及功率谱的特征。为了验证分析方法的有效性,也对第174阶段(该阶段发动机存在积碳故障)的静电信号进行了对比分析。We have made the first gas path electrostatic monitoring experiment and got some commissioning phase electrostatic signals in some type of the turbojet commissioning process in this paper. It selects the 102 stage （engine in a healthy state） electrostatic monitoring signal to analyze features in time domain, obtaining the change of the characteristic parameters such as time domain amplitude, activity level, positive and negative event rate in three typical working conditions. The result of analysis shows that the electrostatic signal changes with the engine conditions. In order to further reveals electrostatic signal characteristics, this paper uses wavelet-Hilbert transformation method to deal with the 102 stage of the electrostatic signal, getting its energy, energy distribution and power spectrum characteristics. With the goal to verify the validity of the method of analysis, we also analyze 174 stage （this stage engine exists carbon fault） electrostatic signals.

关 键 词：涡喷发动机 状态监测 小波-Hilbert 静电监测 

分 类 号：V263.4[航空宇航科学与技术—航空宇航制造工程]